AI Jobs Board
AI Jobs Board
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AI Jobs at Welocalize
Currently hiring for 21 jobs
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Kickstart your career with the Welocalize Early Careers Program
Welocalize
Global
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 77,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF THE INTERNSHIP

Welocalize offers paid internships for motivated undergraduates or postgraduates looking to gain valuable client and technical services experience in the rapidly expanding language services sector. It is the perfect opportunity to gain valuable work experience and develop first-rate account management skills.

We always welcome enthusiastic and dynamic students and recent graduates to join our team in a variety of internship roles.

Come and join our amazing team and get hands-on experience in a dynamic and growing industry.

If you don’t see something that matches your skills and interests in our open positions, feel free to leave your CV here. We will be able to contact you if we see something that looks like a good fit in the future.
ONLY CVs IN ENGLISH WILL BE REVIEWED.

DEPENDING ON THE COUNTRY, YOU MAY HAVE TO BE CURRENTLY ENROLLED WITHIN A UNIVERSITY PROGRAM TO BE CONSIDERED.
Internship
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German Search Quality Rater
Welocalize
Germany
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

OVERVIEW

We have a fantastic opportunity for a bilingual German speaker to join our Production and Quality team as a Search Quality Rater for an initial 6-month fixed-term contract.

In this role, you will gain valuable, hands-on experience in data training, search quality rating and AI tools. We will train you and provide you with all the guidelines needed to learn and become an excellent Quality Rater, and you will work on an exciting project that will empower your career, you will keep learning and be able to work in a great multinational and diverse team.

WHAT WE OFFER

- A part-time fixed-term contract, working 20 or 25 hours per week; or
- A full-time fixed-term contract, working 30-40 hours per week.

MAIN DUTIES

    • Review and evaluate quality of digital advertising (ads);
    • Search and research of existing digital ads throughout a unique Search platform;
    • Use of knowledge of the German culture when reviewing the quality of digital ads;
    • Helping companies to reach larger German audiences through localization of the content;
    • Adapting the company's content to reach the right German speaking locales or markets;
    • Support to other Production and Quality units/squads via administration tasks;
    • Maintain status updates on project and/or team activities and communicate to all relevant stakeholders.

Experience and skills required

    • Excellent knowledge of German (near native level);
    • Be based in Germany;
    • Advanced-fluent level of English, both written and spoken;
    • Strong understanding of popular culture in Germany;
    • Great researching skills;
    • Web-savvy and able to work in a fast-paced environment;
    • Experience with computers and the internet (including having a good internet connection);
    • Experience using keywords would be beneficial;
    • Must be dedicated only to "Search Quality rating program" and not other search or ads rating programs.
Candidates will need to sign a Non-Disclosure Agreement to protect client confidentiality and pass learning modules and a required quality test designed by our client before starting work.
Contract
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Junior Machine Learning Engineer
Welocalize
India
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF ROLE

The Junior Machine Learning Engineer will support the design, development and implementation of machine learning solutions from conception to deployment with appropriate AWS services, Docker, MLFlow, and other that will serve our organization. The role also includes responsibility for following best practices with which to optimize and measure the performance of our models and algorithms against business goals.  

MAIN DUTIES

    • The following is a non-exhaustive list of responsibilities and areas of ownership of the Junior Machine Learning Engineer:
    • Support the design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including machine translation, LLM finetuning, and quality assurance
    • Work alongside senior team members to implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks
    • Learn how to evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems
    • Follow best practices for machine learning management
    • Keep abreast of developments in the field, with a dedication to learning in the role
    • Document diligently and communicate thoughtfully about ML experimentation, design
    • Run machine learning tests and experiments
    • Perform statistical analysis and fine-tuning using test results

REQUIREMENTS

    • Education
    • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
    • Experience
    • 1+ year experience as a Machine Learning Engineer or similar role
    • Ability to write robust, production-grade code in Python
    • Excellent communication and documentation skills
    • Knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning
    • Hands-on, proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
    • Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders
    • Experience taking ownership of projects from conception to deployment, and mentoring more junior team members
    • Desirable Technical Skills and Experience 
    • Experience with ML management technologies and deployment techniques, such as AWS ML offerings, Docker, GPU deployments, etc
    • Experience with natural language processing (NLP) techniques and tools may be a plus
Full-time
Junior
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Machine Learning Engineer
Welocalize
India
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF ROLE

As a Machine Learning Engineer, you will provide the machine learning/data science expertise necessary for the NLP Engineering team and will play a crucial role in the development and implementation of cutting-edge approaches and tools for content translation, analysis and linguistics-based processes. This includes designing and developing machine learning systems, implementing appropriate ML algorithms, and staying updated with the latest developments in the field.

MAIN DUTIES

    • The following is a non-exhaustive list of responsibilities and areas of ownership of the Machine Learning Engineer:
    • Keep familiar with state-of-the-art machine learning/data science approaches applicable to the field of natural language processing (NLP): 
    • Neural machine translation (NMT)
    • Data curation & text classification tasks
    • Investigate new research directions and their potential for novel, practical application to NLP-related tasks
    • Quality estimation and evaluation
    • Act as educator and ambassador for ML in the field of NLP (internal training, conference presentations/workshops, papers, blog articles)
    • Improve existing NLP approaches including:
    • Practical proprietary neural MT implementation (OpenNMT BRNN, transformer models, etc.)
    • Data selection and augmentation, domain adaptation, named entity recognition (NER), terminology extraction, quality estimation, and document classification
    • Language-specific techniques (e.g., morphological analysis, syntax-based approaches)
    • Define/refine best practices when developing translation solutions and engines for new language pairs, domains/topics and content types
    • Work with the software engineering team to turn research techniques into practical commercial solutions
    • Work on broader considerations of practical MT use, e.g. file processing, tag handling, data cleaning, and translation efficiency
    • Lead the implementation of end-to-end projects for new client
    • Develop tools that help streamline workflows and productivity for both internal and external customer

REQUIREMENTS

    • Education 
    • Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science or similar discipline (or equivalent experience)
    • Technical Skills and Experience
    • Commercial experience in machine learning and/or NLP/computational linguistics
    • Strong knowledge of core NLP approaches
    • Knowledge of latest trends in Machine Learning & Artificial Intelligence
    • Strong programming skills (Python preferred)
    • Proficiency working within a Linux environment
    • Desirable Technical Skills and Experience 
    • Hands-on experience working and developing with common NLP & ML packages
    • NLP experience with a language other than English
    • Experience with Docker or similar virtualization platform Familiarity with tools and processes in a localization workflow such as translation management tools, post-editing, and translation evaluation
Full-time
Mid Level
Natural Language Processing
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Senior Machine Learning Engineer
Welocalize
India
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF ROLE

The Senior Machine Learning Engineer role carries responsibility for the discovery, design, development and implementation leadership of machine learning solutions to improve our corporate services. This includes ownership or oversight of projects from conception to deployment with ML deployment techniques and technologies, specifically the appropriate AWS services, Docker, and MLflow.
The role involves close collaboration with our team of developers, data engineers, product managers, business process experts and stakeholders to build models and systems that automate and optimize various aspects of our localization and business processes. The role also includes responsibility for establishing best practices with which to optimize and measure the performance of our models and algorithms against business goals.
The Senior Machine Learning Engineer provides guidance and support to all members of the AI R&D team. Additionally, the role requires effective communication with a diversity of business stakeholders who may have little to no machine-learning knowledge.

MAIN DUTIES

    • The following is a non-exhaustive list of responsibilities and areas of ownership of the Senior Machine Learning Engineer:
    • Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including business intelligence, translation, and quality assurance
    • Collaborate with developers, data engineers, and business process stakeholders to gather requirements and identify areas for improvement
    • Take ownership of key projects from conception to deployment, ensuring that they meet business requirements and maintain momentum and direction until delivery
    • Provide oversight of the discovery phases, data specification and scientific direction of projects owned by ML engineers
    • Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems Implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks
    • Develop tools and metrics to measure the performance of our models and systems
    • Communicate effectively with all business stakeholders who may have little to no machine learning knowledge, explaining and exploring the benefits and limitations of various machine learning approaches in the context of their business goals
    • Deploy machine learning models and algorithms using appropriate techniques and technologies, such as containerization using Docker and deployment to cloud infrastructure
    • Provide guidance and support to members of the team, mentoring in best practices for machine learning management approaches, management environment, development and deployment 

REQUIREMENTS

    • Education 
    • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
    • Experience
    • 5+ years of experience in developing and implementing machine learning models and algorithms Knowledge & Skills Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning
    • Hands-on, high proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
    • Experience with natural language processing (NLP) techniques and tools
    • Strong programming skills in Python
    • Excellent problem-solving and analytical skills Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders
    • Experience taking ownership of projects from conception to deployment, and mentoring more junior team members Experience with ML management technologies and deployment techniques, such as AWS services (Fargate, ECR, etc.), Docker and MLflow.
Full-time
Senior
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Machine Learning Engineer
Welocalize
Greece
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF ROLE

As a Machine Learning Engineer, you will provide the machine learning/data science expertise necessary for the NLP Engineering team and will play a crucial role in the development and implementation of cutting-edge approaches and tools for content translation, analysis and linguistics-based processes. This includes designing and developing machine learning systems, implementing appropriate ML algorithms, and staying updated with the latest developments in the field.

MAIN DUTIES

    • The following is a non-exhaustive list of responsibilities and areas of ownership of the Machine Learning Engineer:
    • Keep familiar with state-of-the-art machine learning/data science approaches applicable to the field of natural language processing (NLP): 
    • Neural machine translation (NMT)
    • Data curation & text classification tasks
    • Investigate new research directions and their potential for novel, practical application to NLP-related tasks
    • Quality estimation and evaluation
    • Act as educator and ambassador for ML in the field of NLP (internal training, conference presentations/workshops, papers, blog articles)
    • Improve existing NLP approaches including:
    • Practical proprietary neural MT implementation (OpenNMT BRNN, transformer models, etc.)
    • Data selection and augmentation, domain adaptation, named entity recognition (NER), terminology extraction, quality estimation, and document classification
    • Language-specific techniques (e.g., morphological analysis, syntax-based approaches)
    • Define/refine best practices when developing translation solutions and engines for new language pairs, domains/topics and content types
    • Work with the software engineering team to turn research techniques into practical commercial solutions
    • Work on broader considerations of practical MT use, e.g. file processing, tag handling, data cleaning, and translation efficiency
    • Lead the implementation of end-to-end projects for new client
    • Develop tools that help streamline workflows and productivity for both internal and external customer

REQUIREMENTS

    • Education 
    • Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science or similar discipline (or equivalent experience)
    • Technical Skills and Experience
    • Commercial experience in machine learning and/or NLP/computational linguistics
    • Strong knowledge of core NLP approaches
    • Knowledge of latest trends in Machine Learning & Artificial Intelligence
    • Strong programming skills (Python preferred)
    • Proficiency working within a Linux environment
    • Desirable Technical Skills and Experience 
    • Hands-on experience working and developing with common NLP & ML packages
    • NLP experience with a language other than English
    • Experience with Docker or similar virtualization platform Familiarity with tools and processes in a localization workflow such as translation management tools, post-editing, and translation evaluation
Full-time
Mid Level
Natural Language Processing
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Senior Machine Learning Engineer
Welocalize
Cluj-Napoca, Romania
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF ROLE

The Senior Machine Learning Engineer role carries responsibility for the discovery, design, development and implementation leadership of machine learning solutions to improve our corporate services. This includes ownership or oversight of projects from conception to deployment with ML deployment techniques and technologies, specifically the appropriate AWS services, Docker, and MLflow.
The role involves close collaboration with our team of developers, data engineers, product managers, business process experts and stakeholders to build models and systems that automate and optimize various aspects of our localization and business processes. The role also includes responsibility for establishing best practices with which to optimize and measure the performance of our models and algorithms against business goals.
The Senior Machine Learning Engineer provides guidance and support to all members of the AI R&D team. Additionally, the role requires effective communication with a diversity of business stakeholders who may have little to no machine-learning knowledge.

MAIN DUTIES

    • The following is a non-exhaustive list of responsibilities and areas of ownership of the Senior Machine Learning Engineer:
    • Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including business intelligence, translation, and quality assurance
    • Collaborate with developers, data engineers, and business process stakeholders to gather requirements and identify areas for improvement
    • Take ownership of key projects from conception to deployment, ensuring that they meet business requirements and maintain momentum and direction until delivery
    • Provide oversight of the discovery phases, data specification and scientific direction of projects owned by ML engineers
    • Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems Implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks
    • Develop tools and metrics to measure the performance of our models and systems
    • Communicate effectively with all business stakeholders who may have little to no machine learning knowledge, explaining and exploring the benefits and limitations of various machine learning approaches in the context of their business goals
    • Deploy machine learning models and algorithms using appropriate techniques and technologies, such as containerization using Docker and deployment to cloud infrastructure
    • Provide guidance and support to members of the team, mentoring in best practices for machine learning management approaches, management environment, development and deployment 

REQUIREMENTS

    • Education 
    • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
    • Experience
    • 5+ years of experience in developing and implementing machine learning models and algorithms Knowledge & Skills Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning
    • Hands-on, high proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
    • Experience with natural language processing (NLP) techniques and tools
    • Strong programming skills in Python
    • Excellent problem-solving and analytical skills Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders
    • Experience taking ownership of projects from conception to deployment, and mentoring more junior team members Experience with ML management technologies and deployment techniques, such as AWS services (Fargate, ECR, etc.), Docker and MLflow.
Full-time
Senior
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Junior Machine Learning Engineer
Welocalize
Greece
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF ROLE

The Junior Machine Learning Engineer will support the design, development and implementation of machine learning solutions from conception to deployment with appropriate AWS services, Docker, MLFlow, and other that will serve our organization. The role also includes responsibility for following best practices with which to optimize and measure the performance of our models and algorithms against business goals.  

MAIN DUTIES

    • The following is a non-exhaustive list of responsibilities and areas of ownership of the Junior Machine Learning Engineer:
    • Support the design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including machine translation, LLM finetuning, and quality assurance
    • Work alongside senior team members to implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks
    • Learn how to evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems
    • Follow best practices for machine learning management
    • Keep abreast of developments in the field, with a dedication to learning in the role
    • Document diligently and communicate thoughtfully about ML experimentation, design
    • Run machine learning tests and experiments
    • Perform statistical analysis and fine-tuning using test results

REQUIREMENTS

    • Education
    • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
    • Experience
    • 1+ year experience as a Machine Learning Engineer or similar role
    • Ability to write robust, production-grade code in Python
    • Excellent communication and documentation skills
    • Knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning
    • Hands-on, proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
    • Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders
    • Experience taking ownership of projects from conception to deployment, and mentoring more junior team members
    • Desirable Technical Skills and Experience 
    • Experience with ML management technologies and deployment techniques, such as AWS ML offerings, Docker, GPU deployments, etc
    • Experience with natural language processing (NLP) techniques and tools may be a plus
Full-time
Junior
Logo
Machine Learning Engineer
Welocalize
Cluj-Napoca, Romania
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF ROLE

As a Machine Learning Engineer, you will provide the machine learning/data science expertise necessary for the NLP Engineering team and will play a crucial role in the development and implementation of cutting-edge approaches and tools for content translation, analysis and linguistics-based processes. This includes designing and developing machine learning systems, implementing appropriate ML algorithms, and staying updated with the latest developments in the field.

MAIN DUTIES

    • The following is a non-exhaustive list of responsibilities and areas of ownership of the Machine Learning Engineer:
    • Keep familiar with state-of-the-art machine learning/data science approaches applicable to the field of natural language processing (NLP): 
    • Neural machine translation (NMT)
    • Data curation & text classification tasks
    • Investigate new research directions and their potential for novel, practical application to NLP-related tasks
    • Quality estimation and evaluation
    • Act as educator and ambassador for ML in the field of NLP (internal training, conference presentations/workshops, papers, blog articles)
    • Improve existing NLP approaches including:
    • Practical proprietary neural MT implementation (OpenNMT BRNN, transformer models, etc.)
    • Data selection and augmentation, domain adaptation, named entity recognition (NER), terminology extraction, quality estimation, and document classification
    • Language-specific techniques (e.g., morphological analysis, syntax-based approaches)
    • Define/refine best practices when developing translation solutions and engines for new language pairs, domains/topics and content types
    • Work with the software engineering team to turn research techniques into practical commercial solutions
    • Work on broader considerations of practical MT use, e.g. file processing, tag handling, data cleaning, and translation efficiency
    • Lead the implementation of end-to-end projects for new client
    • Develop tools that help streamline workflows and productivity for both internal and external customer

REQUIREMENTS

    • Education 
    • Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science or similar discipline (or equivalent experience)
    • Technical Skills and Experience
    • Commercial experience in machine learning and/or NLP/computational linguistics
    • Strong knowledge of core NLP approaches
    • Knowledge of latest trends in Machine Learning & Artificial Intelligence
    • Strong programming skills (Python preferred)
    • Proficiency working within a Linux environment
    • Desirable Technical Skills and Experience 
    • Hands-on experience working and developing with common NLP & ML packages
    • NLP experience with a language other than English
    • Experience with Docker or similar virtualization platform Familiarity with tools and processes in a localization workflow such as translation management tools, post-editing, and translation evaluation
Full-time
Mid Level
Natural Language Processing
Logo
Junior Machine Learning Engineer
Welocalize
Cluj-Napoca, Romania
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF ROLE

The Junior Machine Learning Engineer will support the design, development and implementation of machine learning solutions from conception to deployment with appropriate AWS services, Docker, MLFlow, and other that will serve our organization. The role also includes responsibility for following best practices with which to optimize and measure the performance of our models and algorithms against business goals.  

MAIN DUTIES

    • The following is a non-exhaustive list of responsibilities and areas of ownership of the Junior Machine Learning Engineer:
    • Support the design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including machine translation, LLM finetuning, and quality assurance
    • Work alongside senior team members to implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks
    • Learn how to evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems
    • Follow best practices for machine learning management
    • Keep abreast of developments in the field, with a dedication to learning in the role
    • Document diligently and communicate thoughtfully about ML experimentation, design
    • Run machine learning tests and experiments
    • Perform statistical analysis and fine-tuning using test results

REQUIREMENTS

    • Education
    • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
    • Experience
    • 1+ year experience as a Machine Learning Engineer or similar role
    • Ability to write robust, production-grade code in Python
    • Excellent communication and documentation skills
    • Knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning
    • Hands-on, proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
    • Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders
    • Experience taking ownership of projects from conception to deployment, and mentoring more junior team members
    • Desirable Technical Skills and Experience 
    • Experience with ML management technologies and deployment techniques, such as AWS ML offerings, Docker, GPU deployments, etc
    • Experience with natural language processing (NLP) techniques and tools may be a plus
Full-time
Junior
Logo
AI Projects Leader
Welocalize
United States
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Welocalize’s fastest-growing service line is AI Data Services. We are partnering with clients across diverse industries to help them create, collect, annotate, or QA their training data to optimize their AI and machine learning applications. Our AI Data Services encompass a wide range of solutions, including data generation, labeling, validation, and augmentation, enabling our clients to build, deploy, and improve their AI models effectively. By leveraging our expertise in natural language processing, computer vision, and other AI-related technologies, we empower clients to harness the full potential of AI and drive significant business growth.

Main Purpose

    • The AI Projects Leader will lead our growing team of AI Projects Specialists, AI Deployment Engineers, and Data Services Specialists. You will focus on creating and optimizing processes, driving innovation in novel and ambiguous environments, nurturing the professional growth of your direct reports, and engaging with clients to ensure outstanding customer satisfaction. You will apply your knowledge of AI, machine learning, and project management methodologies to deliver deep analytical solutions and manage the development of client-facing programs and internal processes.

Responsibilities

    • Lead, mentor, and develop a globally distributed team of AI Projects Specialists, AI Deployment Engineers, and Data Services Specialists, focusing on their professional growth, skills development, and performance management.
    • Develop, implement, and continuously refine project management processes, methodologies, and best practices for AI data services projects and related solutions.
    • Collaborate with cross-functional teams to identify and address challenges, manage risks, and resolve issues in a timely manner, with a focus on fostering a culture of customer centricity, innovation and continuous improvement.
    • Ensure successful execution and delivery of AI data services projects and deployment solutions, meeting or exceeding client expectations and quality standards.
    • Establish strong relationships with clients, stakeholders, and internal teams to ensure seamless communication and alignment across all project phases.
    • Be involved in many aspects of model design and evaluation tasks, providing feedback on AI and machine learning approaches and working with R&D on developing and improving model performance.
    • Drive customer engagement and satisfaction, ensuring that client needs are met, addressing any concerns in a proactive manner, and creating customer evangelists for Welocalize’s services.
    • Report on the performance of AI data services projects and programs, demonstrating the team's business impact to senior leaders.

Requirements

    • Bachelor's degree in Computational Linguistics, Computer Science, Engineering, or adjacent field with a minimum of 5 years of related experience or a Master's degree.
    • Minimum 2 years of technical management experience in AI deployments, machine learning, or related technology fields.
    • Minimum 5 years of experience in AI data services, project management, and customer engagement.
    • Proven track record in creating and implementing effective project management processes and methodologies in fast-paced, ambiguous environments.
    • Strong experience in mentoring, developing, and managing high-performing teams, with a focus on nurturing talent and fostering professional growth in technical roles.
    • Exceptional problem-solving, decision-making, and critical-thinking skills, with the ability to navigate complex situations and drive successful outcomes.
    • Excellent interpersonal, communication, and relationship-building skills, with the ability to collaborate effectively with clients, stakeholders, and internal teams.
    • A strong passion for AI and machine learning technologies, with a demonstrated interest in staying up-to-date with the latest industry trends and advancements.
    • General business acumen and demonstrated focus on financial impact and customer satisfaction.
    • Experience working in a private equity-backed organization is a plus.
List of Benefits:

- Medical Insurance
- Telemedicine Benefit
- Dental Insurance
- Vision Insurance
- FSA and HSA
- Life and Disability Insurance
- Vacation Time: 15 days per year (increases with years of service)
- Sick Time: 6 days per year
- Paid Holidays: 8 days per year
- Employee Assistance Program
- 401 (k) Retirement Plan
- Paid Maternity Leave
- Paid Adoption Leave

Welocalize carefully considers a wide range of compensation variables including geographic location, job scope and complexity, skill level, experience, or industry-specific knowledge.  Compensation will be mutually agreed upon at offer and may be above the posted range due to compensation variables.

Salary Range: $125K-$160K
Full-time
Senior
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Senior Machine Learning Engineer
Welocalize
Greece
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF ROLE

The Senior Machine Learning Engineer role carries responsibility for the discovery, design, development and implementation leadership of machine learning solutions to improve our corporate services. This includes ownership or oversight of projects from conception to deployment with ML deployment techniques and technologies, specifically the appropriate AWS services, Docker, and MLflow.
The role involves close collaboration with our team of developers, data engineers, product managers, business process experts and stakeholders to build models and systems that automate and optimize various aspects of our localization and business processes. The role also includes responsibility for establishing best practices with which to optimize and measure the performance of our models and algorithms against business goals.
The Senior Machine Learning Engineer provides guidance and support to all members of the AI R&D team. Additionally, the role requires effective communication with a diversity of business stakeholders who may have little to no machine-learning knowledge.

MAIN DUTIES

    • The following is a non-exhaustive list of responsibilities and areas of ownership of the Senior Machine Learning Engineer:
    • Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including business intelligence, translation, and quality assurance
    • Collaborate with developers, data engineers, and business process stakeholders to gather requirements and identify areas for improvement
    • Take ownership of key projects from conception to deployment, ensuring that they meet business requirements and maintain momentum and direction until delivery
    • Provide oversight of the discovery phases, data specification and scientific direction of projects owned by ML engineers
    • Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems Implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks
    • Develop tools and metrics to measure the performance of our models and systems
    • Communicate effectively with all business stakeholders who may have little to no machine learning knowledge, explaining and exploring the benefits and limitations of various machine learning approaches in the context of their business goals
    • Deploy machine learning models and algorithms using appropriate techniques and technologies, such as containerization using Docker and deployment to cloud infrastructure
    • Provide guidance and support to members of the team, mentoring in best practices for machine learning management approaches, management environment, development and deployment 

REQUIREMENTS

    • Education 
    • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
    • Experience
    • 5+ years of experience in developing and implementing machine learning models and algorithms Knowledge & Skills Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning
    • Hands-on, high proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
    • Experience with natural language processing (NLP) techniques and tools
    • Strong programming skills in Python
    • Excellent problem-solving and analytical skills Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders
    • Experience taking ownership of projects from conception to deployment, and mentoring more junior team members Experience with ML management technologies and deployment techniques, such as AWS services (Fargate, ECR, etc.), Docker and MLflow.
Full-time
Senior
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Customer Success Intern - Life Sciences
Welocalize
India
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF JOB

The Customer Success Intern will work with the European and APAC Life Sciences Sales Team and is responsible for handling regular transactional client business, supporting and shadowing the Business Development Directors, creating client meetings and helping close new business in their own right.

The role requires a large degree of cooperation among Business Development Directors and other stakeholders involved in the sales cycle process. Some traveling may eventually be required.

Main duties

    • Development of an effective understanding of the Company’s business and services
    • Promotion of Welocalize’s competitive value and expertise in the life sciences translation industry
    • Management of key transactional customer accounts, working closely with existing business development team
    • Researching and identifying new business opportunities and supporting BDDs with opportunities
    • Make presentations to senior managers and decision-makers
    • Draft and deliver proposals, with assistance from the wider Sales Team
    • Develop and maintain key account plans and reporting that identify opportunities for the company to deliver value, strategic motivators, main stakeholders, buying processes and forecasted sales
    • Be a positive representative of the company and its brand in the marketplace
    • Conduct all sales activities with the highest degree of professionalism and integrity

Experience required

    • Experience in sales or sales support environment would be ideal
    • Good knowledge of the sales cycle
    • Excellent verbal and written communication skills
    • Strong interpersonal and presentation skills
    • Strong computer skills
    • Foreign language is a plus
    • Ability to build new relationships and maintain current ones
    • Self-motivated individual with a positive attitude
    • Ability to take initiative
    • High energy and entrepreneurial spirit
    • Ability to adapt to changing work environment
    • Confident

Key competences

    • Can provide persuasive communication
    • Focuses on building a credibility-based relationship
    • Understands the importance of SMART objectives and is Results Orientated
    • Thinks commercially and can interact with commercial people
    • Strong company & industry awareness

Qualifications required

    • A Bachelor’s degree or master's degree from a college or university a plus, related experience and/or training required.

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Customer Success Intern - Legal
Welocalize
Gurgaon, India
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF JOB

The Customer Success Intern will work with the European and APAC Legal Sales Team and is responsible for handling regular transactional client business, supporting and shadowing the Business Development Directors, creating client meetings, and helping close new business in their own right.

The role requires a large degree of cooperation among Business Development Directors and other stakeholders involved in the sales cycle process. Some traveling may eventually be required.

Main duties

    • Development of an effective understanding of the Company’s business and services
    • Promotion of Welocalize’s competitive value and expertise in the legal translation industry
    • Management of key transactional customer accounts, working closely with existing business development team
    • Researching and identifying new business opportunities and supporting BDDs with opportunities
    • Make presentations to senior managers and decision-makers
    • Draft and deliver proposals, with assistance from the wider Sales Team
    • Develop and maintain key account plans and reporting that identify opportunities for the company to deliver value, strategic motivators, main stakeholders, buying processes and forecasted sales
    • Be a positive representative of the company and its brand in the marketplace
    • Conduct all sales activities with the highest degree of professionalism and integrity

Experience required

    • Experience in sales or sales support environment would be ideal
    • Good knowledge of the sales cycle
    • Excellent verbal and written communication skills
    • Strong interpersonal and presentation skills
    • Strong computer skills
    • Foreign language is a plus
    • Ability to build new relationships and maintain current ones
    • Self-motivated individual with a positive attitude
    • Ability to take initiative
    • High energy and entrepreneurial spirit
    • Ability to adapt to changing work environment
    • Confident

Key competences

    • Can provide persuasive communication
    • Focuses on building a credibility-based relationship
    • Understands the importance of SMART objectives and is Results Orientated
    • Thinks commercially and can interact with commercial people
    • Strong company & industry awareness

Qualifications required

    • A Bachelor’s degree or master's degree from a college or university a plus, related experience and/or training required.

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Senior Machine Learning Engineer
Welocalize
Mexico
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF ROLE

The Senior Machine Learning Engineer role carries responsibility for the discovery, design, development and implementation leadership of machine learning solutions to improve our corporate services. This includes ownership or oversight of projects from conception to deployment with ML deployment techniques and technologies, specifically the appropriate AWS services, Docker, MLflow, and other tools.
The role involves close collaboration with our team of developers, data engineers, product managers, business process experts and stakeholders to build models and systems that automate and optimize various aspects of our localization and business processes. The role also includes responsibility for establishing best practices with which to optimize and measure the performance of our models and algorithms against business goals.
The Senior Machine Learning Engineer provides guidance and support to all members of the AI R&D team. Additionally, the role requires effective communication with a diversity of business stakeholders who may have little to no machine-learning knowledge.

MAIN DUTIES

    • The following is a non-exhaustive list of responsibilities and areas of ownership of the Senior Machine Learning Engineer:
    • Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including business intelligence, machine translation, LLM finetuning, and quality assurance
    • Collaborate with developers, data engineers, and business process stakeholders to gather requirements and identify areas for improvement
    • Take ownership of key projects from conception to deployment, ensuring that they meet business requirements and maintain momentum and direction until delivery
    • Provide oversight of the discovery phases, data specification and scientific direction of projects owned by ML engineers
    • Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems
    • Develop tools and metrics to measure the performance of our models and systems
    • Deploy machine learning models into a large-scale AWS environment, including architecture design and deep knowledge of AWS best practices
    • Communicate effectively with all business stakeholders who may have little to no machine learning knowledge, explaining and exploring the benefits and limitations of various machine learning approaches in the context of their business goals
    • Deploy machine learning models and algorithms using appropriate techniques and technologies, such as containerization using Docker and deployment to cloud infrastructure
    • Implement and optimize machine learning models and technologies using Python, Tensor Flow, Pandas, and other relevant tools and frameworks
    • Provide guidance and support to members of the team, mentoring in best practices for machine learning management approaches, management environment, development and deployment 
    • Keep abreast of developments in the field, with a dedication to learning in the role

REQUIREMENTS

    • Education 
    • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
    • Experience
    • 5+ years of experience in developing and implementing machine learning models and algorithms
    • Knowledge & Skills Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning
    • Hands-on, high proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
    • Experience with natural language processing (NLP) techniques and tools
    • Ability to write robust, production-grade code in Python
    • Experience with ML management technologies and deployment techniques, such as AWS services (Fargate, ECR, etc.), Docker and MLflow.
    • Excellent problem-solving and analytical skills
    • Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders
    • Experience taking ownership of projects from conception to deployment, and mentoring more junior team members
Full-time
Senior
Natural Language Processing
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Senior Machine Learning Product Manager
Welocalize
Spain
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF ROLE

The ML Product Manager is responsible for leading the definition and delivery of ML+AI solutions. As an ML Product Manager at Welocalize, you will use a combination of extensive Data and ML knowledge and execution experience to deliver business value to stakeholders in accordance with the ML product vision and in support of company goals.

Welocalize is in the process of building out its new ML Division, and this role will be the first PM for the new ML team. You will help set a culture of speed, impact, and engineering excellence for this new ML engineering team. Your day-to-day will include working with stakeholders in our four main service lines to identify opportunities for ML to have impact, measure that impact, and prioritize projects on the roadmap of the ML engineering team.

You will report into an established Product organization that has a record of excellence and established best practices.

MAIN DUTIES

    • The following is a non-exhaustive list of responsibilities and areas of ownership of the Senior Machine Learning Product Manager:
    • Play a central role in building the capabilities that will empower multiple business-critical ML workloads.
    • Build insights into Welocalize use-cases, strategize where AI+ML technologies can be applied to drive business impact and use these insights to build and champion the roadmap for ML at Welocalize.
    • Closely partner with outstanding talent across engineering teams and drive tight integration with other systems to build ML tooling.
    • Define clear OKRs that can help the team ensure progress towards our goal of driving ML adoption.
    • Collaborate with internal operational stakeholders, external clients, and our engineering team to ensure product success.
    • Requirement analysis and solution design: Collaborate with cross-functional teams to understand business requirements, define clear objectives, and develop technical plans. Work with stakeholders to identify opportunities where AI can provide valuable insights and solutions.
    • Partner with Engineers conducting experiments and evaluations to assess the performance and effectiveness of different models and techniques.
    • Develop metrics that reflect the needs of the business for their stakeholder cases, and partner in the analysis and of experiment results, interpret findings, and provide actionable recommendations.
    • Stay updated with the latest advancements in machine learning, deep learning, and NLP.
    • Lead product development and launches by working with multiple stakeholders to define product requirements, prioritize features, and manage timelines.
    • Monitor product performance and user feedback to ensure product success.
    • Develop and execute a formal plan to regularly engage with stakeholders to ensure all product needs are captured.
    • Ensure that requirements slated for development are internally consistent, well described, and are granular enough to be implemented by developers.
    • Collaborate with the development team by involving them in development of the product vision, sharing credit for success, thinking through the nuances before presenting requirements, and creating schedules through consensus.
    • Contribute to a culture of excellence, open communication, courage, and respect.

REQUIREMENTS

    • Education 
    • Bachelor's or Master's degree in Computer Science, Machine Learning, or relevant experience in the related field
    • 5+ years of relevant work experience in ML software product management. Localization, translation, data collection, or NLP experience is a bonus.
    • Demonstrated ability to work with senior executives, stakeholders, and users to define and manage the scope, strategy, and requirements.
    • Quantitative skills demonstrated by the seeking out, understanding, and diving into data, research and others' thoughts and ideas to support data-driven decision making.
    • A well-rounded communicator, collaborator and presenter who loves to share findings and insights
    • Strong practical knowledge of MS Office, Atlassian (JIRA, Confluence)
    • Understanding of Lean and Agile Methodologies
    • Self-motivated with critical attention to detail, deadlines and reporting.
    • Ability to work creatively and analytically in a problem-solving environment.
    • Ability to work well autonomously and within a team in a fast-paced and deadline-oriented environment
    • Strong verbal and written communication skills (including analysis, interpretation, & reasoning)
    • Ability to build clear and concise presentations and communicate effectively at every level of the organization.
    • Demonstrated specialization, execution, and delivery of AI product.
    • Demonstrated project management skills, including effective planning, organizing, and administration of multi-functional work responsibilities.
    • Demonstrated ability to facilitate cross-functional planning sessions (ie Scrum and Squad in agile).
    • Demonstrated ability to effectively partner across, collaborate with, and inspire teams and individuals, including remote employees.
    • Ability to negotiate and resolve complex and sensitive issues with diplomacy and persuasiveness.
Welocalize is committed to equal opportunities and in compliance with the General Law on the Rights of People with Disabilities, this vacancy is also available and we encourage those candidates who have a disability certificate (equal to or greater than 33%) to apply.
Full-time
Senior
Logo
Senior Machine Learning Product Manager
Welocalize
Romania
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF ROLE

The ML Product Manager is responsible for leading the definition and delivery of ML+AI solutions. As an ML Product Manager at Welocalize, you will use a combination of extensive Data and ML knowledge and execution experience to deliver business value to stakeholders in accordance with the ML product vision and in support of company goals.

Welocalize is in the process of building out its new ML Division, and this role will be the first PM for the new ML team. You will help set a culture of speed, impact, and engineering excellence for this new ML engineering team. Your day-to-day will include working with stakeholders in our four main service lines to identify opportunities for ML to have impact, measure that impact, and prioritize projects on the roadmap of the ML engineering team.

You will report into an established Product organization that has a record of excellence and established best practices.

MAIN DUTIES

    • The following is a non-exhaustive list of responsibilities and areas of ownership of the Senior Machine Learning Product Manager:
    • Play a central role in building the capabilities that will empower multiple business-critical ML workloads.
    • Build insights into Welocalize use-cases, strategize where AI+ML technologies can be applied to drive business impact and use these insights to build and champion the roadmap for ML at Welocalize.
    • Closely partner with outstanding talent across engineering teams and drive tight integration with other systems to build ML tooling.
    • Define clear OKRs that can help the team ensure progress towards our goal of driving ML adoption.
    • Collaborate with internal operational stakeholders, external clients, and our engineering team to ensure product success.
    • Requirement analysis and solution design: Collaborate with cross-functional teams to understand business requirements, define clear objectives, and develop technical plans. Work with stakeholders to identify opportunities where AI can provide valuable insights and solutions.
    • Partner with Engineers conducting experiments and evaluations to assess the performance and effectiveness of different models and techniques.
    • Develop metrics that reflect the needs of the business for their stakeholder cases, and partner in the analysis and of experiment results, interpret findings, and provide actionable recommendations.
    • Stay updated with the latest advancements in machine learning, deep learning, and NLP.
    • Lead product development and launches by working with multiple stakeholders to define product requirements, prioritize features, and manage timelines.
    • Monitor product performance and user feedback to ensure product success.
    • Develop and execute a formal plan to regularly engage with stakeholders to ensure all product needs are captured.
    • Ensure that requirements slated for development are internally consistent, well described, and are granular enough to be implemented by developers.
    • Collaborate with the development team by involving them in development of the product vision, sharing credit for success, thinking through the nuances before presenting requirements, and creating schedules through consensus.
    • Contribute to a culture of excellence, open communication, courage, and respect.

REQUIREMENTS

    • Education 
    • Bachelor's or Master's degree in Computer Science, Machine Learning, or relevant experience in the related field
    • 5+ years of relevant work experience in ML software product management. Localization, translation, data collection, or NLP experience is a bonus.
    • Demonstrated ability to work with senior executives, stakeholders, and users to define and manage the scope, strategy, and requirements.
    • Quantitative skills demonstrated by the seeking out, understanding, and diving into data, research and others' thoughts and ideas to support data-driven decision making.
    • A well-rounded communicator, collaborator and presenter who loves to share findings and insights
    • Strong practical knowledge of MS Office, Atlassian (JIRA, Confluence)
    • Understanding of Lean and Agile Methodologies
    • Self-motivated with critical attention to detail, deadlines and reporting.
    • Ability to work creatively and analytically in a problem-solving environment.
    • Ability to work well autonomously and within a team in a fast-paced and deadline-oriented environment
    • Strong verbal and written communication skills (including analysis, interpretation, & reasoning)
    • Ability to build clear and concise presentations and communicate effectively at every level of the organization.
    • Demonstrated specialization, execution, and delivery of AI product.
    • Demonstrated project management skills, including effective planning, organizing, and administration of multi-functional work responsibilities.
    • Demonstrated ability to facilitate cross-functional planning sessions (ie Scrum and Squad in agile).
    • Demonstrated ability to effectively partner across, collaborate with, and inspire teams and individuals, including remote employees.
    • Ability to negotiate and resolve complex and sensitive issues with diplomacy and persuasiveness.

Full-time
Senior
Logo
Senior Machine Learning Engineer
Welocalize
Mexico
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Summary:
The Senior Machine Learning Engineer role is responsible for the discovery, design, development and implementation of machine learning solutions to serve our organization. This includes ownership or oversight of projects from conception to deployment with appropriate AWS services, Docker, MLFlow, and other tools. The role also includes responsibility for establishing best practices with which to optimize and measure the performance of our models and algorithms against business goals.
The Senior Machine Learning Engineer provides guidance and support to all members of the ML team. The Senior Machine Learning Engineer is an educator in, and ambassador for, ML with a sphere of influence extending to senior & executive leadership. 

Responsibilities

    • Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including machine translation, LLM fine tuning, and quality assurance.
    • Take ownership of key projects from conception to deployment, ensuring that they meet business requirements and maintain momentum and direction until delivery.
    • Collaborate with developers, data engineers, and business process stakeholders to gather requirements and identify areas for improvement.
    • Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems.
    • Deploy machine learning models into a large-scale AWS environment, including architecture design and deep knowledge of AWS best practices.
    • Implement and optimize machine learning models and technologies using Python, TensorFlow, Pandas, and similar.
    • Perform statistical analysis and fine-tuning using test results.
    • Provide guidance and support to members of the team, mentoring in best practices for machine
    • learning management.

Requirements and Skills

    • 5+ years experience as a Machine Learning Engineer or similar role.
    • Ability to write robust, production-grade code in Python.
    • Excellent communication and documentation skills.
    • Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
    • Hands-on, high proficiency experience with machine learning frameworks such as TensorFlow, and PyTorch, and Scikit-learn.
    • Experience with natural language processing (NLP) techniques and tools.
    • Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
    • Experience taking ownership of projects from conception to deployment, and mentoring more junior team members.
    • Significant experience with ML management technologies and deployment techniques. Must include enterprise experience with AWS and Docker. Examples of relevant (but not required) AWS services: Amazon Sagemaker, EC2, Lambdas, DynamoDB, RedShift.

Education

    • BS in Computer Science, Mathematics, or similar field;
    • Master’s degree is a plus.
Full-time
Senior
Logo
Senior Machine Learning Product Manager
Welocalize
Mexico
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Overview:
The ML Product Manager is responsible for leading the definition and delivery of ML+AI solutions. As an ML Product Manager at Welocalize, you will use a combination of extensive Data and ML knowledge and execution experience to deliver business value to stakeholders in accordance with
the ML product vision and in support of company goals.

Welocalize is in the process of building out its new ML Division, and this role will be the first PM for the new ML team. You will help set a culture of speed, impact, and engineering excellence for this new ML engineering team. Your day-to-day will include working with stakeholders in our four main service lines to identify opportunities for ML to have impact, measure that impact, and prioritize projects on the roadmap of the ML engineering team.

You will report into an established Product organization that has a record of excellence and established best practices. Welocalize is fully remote; you can work from anywhere! The team of engineers will be based in the Americas and Europe, so reasonable overlap with those time zones is required.

Responsibilities

    • Play a central role in building the capabilities that will empower multiple business-critical ML workloads. solutions. Build insights into Welocalize use-cases, strategize where AI+ML technologies can be applied to drive business impact and use these insights to build and champion the roadmap for ML at Welocalize.
    • Build insights into Welocalize use-cases, strategize where AI+ML technologies can be applied to drive business impact and use these insights to build and champion the roadmap for ML at Welocalize.
    • Closely partner with outstanding talent across engineering teams and drive tight integration with other systems to build ML tooling.
    • Define clear OKRs that can help the team ensure progress towards our goal of driving ML adoption.
    • Collaborate with internal operational stakeholders, external clients, and our engineering team to ensure product success.
    • Requirement analysis and solution design: Collaborate with cross-functional teams to understand business requirements, define clear objectives, and develop technical plans.
    • Work with stakeholders to identify opportunities where AI can provide valuable insights and partner with Engineers conducting experiments and evaluations to assess the performance and effectiveness of different models and techniques.
    • Develop metrics that reflect the needs of the business for their stakeholder cases, and partner in the analysis and of experiment results, interpret findings, and provide actionable recommendations.
    • Stay updated with the latest advancements in machine learning, deep learning, and NLP.
    • Lead product development and launches by working with multiple stakeholders to define product requirements, prioritize features, and manage timelines.
    • Monitor product performance and user feedback to ensure product success.
    • Develop and execute a formal plan to regularly engage with stakeholders to ensure all product needs are captured.
    • Ensure that requirements slated for development are internally consistent, well described, and are granular enough to be implemented by developers.
    • Collaborate with the development team by involving them in development of the product vision, sharing credit for success, thinking through the nuances before presenting requirements, and creating schedules through consensus.
    • Contribute to a culture of excellence, open communication, courage, and respect. 
    • Closely partner with outstanding talent across engineering teams and drive tight integration with other systems to build ML tooling.
    • Define clear OKRs that can help the team ensure progress towards our goal of driving ML adoption.
    • Collaborate with internal operational stakeholders, external clients, and our engineering team to ensure product success.

Qualifications

    • Bachelor’s Degree or higher.
    • 5+ years of relevant work experience in ML software product management. Localization, translation, data collection, or NLP experience is a bonus.
    • Demonstrated ability to work with senior executives, stakeholders, and users to define and manage the scope, strategy, and requirements.
    • Quantitative skills demonstrated by the seeking out, understanding, and diving into data,
    • research and others' thoughts and ideas to support data-driven decision making.
    • A well-rounded communicator, collaborator and presenter who loves to share findings and
    • insights.
    • Strong practical knowledge of MS Office, Atlassian (JIRA, Confluence).
    • Understanding of Lean and Agile Methodologies.
    • Self-motivated with critical attention to detail, deadlines and reporting.
    • Ability to work creatively and analytically in a problem-solving environment.
    • Ability to work well autonomously and within a team in a fast-paced and deadline-oriented
    • environment.
    • Strong verbal and written communication skills (including analysis, interpretation, &
    • reasoning).
    • Ability to build clear and concise presentations and communicate effectively at every level of
    • the organization.
    • Demonstrated specialization, execution, and delivery of AI product.
    • Demonstrated project management skills, including effective planning, organizing, and administration of multi-functional work responsibilities.
    • Demonstrated ability to facilitate cross-functional planning sessions (ie Scrum and Squad in
    • agile).
    • Demonstrated ability to effectively partner across, collaborate with, and inspire teams and individuals, including remote employees.
    • Ability to negotiate and resolve complex and sensitive issues with diplomacy and persuasiveness.
Full-time
Senior
Logo
Senior Machine Learning Engineer
Welocalize
Spain
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF ROLE

The Senior Machine Learning Engineer role carries responsibility for the discovery, design, development and implementation leadership of machine learning solutions to improve our corporate services. This includes ownership or oversight of projects from conception to deployment with ML deployment techniques and technologies, specifically the appropriate AWS services, Docker, MLflow, and other tools.
The role involves close collaboration with our team of developers, data engineers, product managers, business process experts and stakeholders to build models and systems that automate and optimize various aspects of our localization and business processes. The role also includes responsibility for establishing best practices with which to optimize and measure the performance of our models and algorithms against business goals.
The Senior Machine Learning Engineer provides guidance and support to all members of the AI R&D team. Additionally, the role requires effective communication with a diversity of business stakeholders who may have little to no machine-learning knowledge.

MAIN DUTIES

    • The following is a non-exhaustive list of responsibilities and areas of ownership of the Senior Machine Learning Engineer:
    • Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including business intelligence, machine translation, LLM finetuning, and quality assurance
    • Collaborate with developers, data engineers, and business process stakeholders to gather requirements and identify areas for improvement
    • Take ownership of key projects from conception to deployment, ensuring that they meet business requirements and maintain momentum and direction until delivery
    • Provide oversight of the discovery phases, data specification and scientific direction of projects owned by ML engineers
    • Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems
    • Develop tools and metrics to measure the performance of our models and systems
    • Deploy machine learning models into a large-scale AWS environment, including architecture design and deep knowledge of AWS best practices
    • Communicate effectively with all business stakeholders who may have little to no machine learning knowledge, explaining and exploring the benefits and limitations of various machine learning approaches in the context of their business goals
    • Deploy machine learning models and algorithms using appropriate techniques and technologies, such as containerization using Docker and deployment to cloud infrastructure
    • Implement and optimize machine learning models and technologies using Python, Tensor Flow, Pandas, and other relevant tools and frameworks
    • Provide guidance and support to members of the team, mentoring in best practices for machine learning management approaches, management environment, development and deployment 
    • Keep abreast of developments in the field, with a dedication to learning in the role

REQUIREMENTS

    • Education 
    • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
    • Experience
    • 5+ years of experience in developing and implementing machine learning models and algorithms
    • Knowledge & Skills Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning
    • Hands-on, high proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
    • Experience with natural language processing (NLP) techniques and tools
    • Ability to write robust, production-grade code in Python
    • Experience with ML management technologies and deployment techniques, such as AWS services (Fargate, ECR, etc.), Docker and MLflow.
    • Excellent problem-solving and analytical skills
    • Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders
    • Experience taking ownership of projects from conception to deployment, and mentoring more junior team members
Welocalize is committed to equal opportunities and in compliance with the General Law on the Rights of People with Disabilities, this vacancy is also available and we encourage those candidates who have a disability certificate (equal to or greater than 33%) to apply.
Full-time
Senior
Logo
Legal & Administrative Intern
Welocalize
Italy
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 77,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
 
OVERVIEW

As part of our Early Careers Program, this is a full-time paid 6 + 6 months' internship opportunity, where our interns develop the knowledge and tools needed to succeed, with mentorship provided by experienced professionals in the relevant areas and opportunities to network with major players in the industry.

The intern provides constant support all across several operational units at Welocalize, focusing on providing administrative support on daily general and specific tasks, customer service by telephone and email, at the legal department.


MAIN DUTIES

    • Monitoring of purchase orders, contracts, general conditions, MSAs and customer codes of ethics;
    • Compiling documents and statements for clients, compiling documents for tenders, managing specific confidentiality agreements, privacy, GDPR and insider registers;
    • Draft documentation, project plans etc. to support Projects, Technical and/or Sales teams;
    • Conduct analysis and produce metric reports and dashboards to support business decisions and strategies;
    • Deliver key activities to deadlines related to the functional internship you are assigned to;
    • Connect with internal stakeholders in support of project execution;
    • Maintain status updates on project and/or team activities and communicate to all relevant stakeholders;
    • Registering new clients and new contacts in the system, using Salesforce;
    • Asking for client’s Purchase Orders (POs) and updating data in the system;
    • Creating Credit memos;
    • Word-count and document analysis.

Required experience

    • Bilingual or native level of Italian, both written and spoken;
    • Fluent or advanced level of English, both written and spoken;
    • Previous experience or knowledge or Italian labor law is a plus;
    • Previous data entry or customer service experience;
    • Advanced user level of Microsoft Office package: Excel, Word, PowerPoint;
    • Advanced user level of Outlook;
    • Tech-savvy and hungry-learner;
    • Additional language is a plus.

Education level

    • In Pursuit of a Bachelor's or Master's degree from a college or university in related field, or equivalent combination of education and experience.

Required competences

    • “Can do” attitude
    • Accuracy & follow up
    • Active management/time management.
    • Common Sense
    • Self-Sufficiency.
ONLY CVs IN ENGLISH WILL BE CONSIDERED.
Full-time