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Senior Machine Learning Engineer - NLP (Remote, India)
Level AI
India
Level AI is a Mountain View, CA-based startup innovating in the Voice AI space. We are backed by top VCs, technologists from Silicon Valley and industry experts. We are on a mission to revolutionize the customer sales experience for businesses. We are innovating in speech AI, NLP and information retrieval systems to bring customers and businesses closer to one another. As one of the critical members of the Level team your work will be new and of the highest impact to shape the future of AI in businesses. You will directly work with a team of experienced technologists to identify and solve a new set of problems. The team has experience from Amazon Alexa, Google, and other leading AI organizations. You will have the freedom to pave a new path to achieve our mission.

What you'll be liable for:

    • Big picture: Understand customers’ needs and innovate and use cutting edge Machine Learning techniques to build data-driven solutions.
    • Work on NLP problems across areas such as text classification, entity extraction, summarization and others.
    • Build, deploy and own scalable production NLP pipelines.
    • Build post-deployment monitoring and continual learning capabilities. Propose suitable evaluation metrics and establish benchmarks.
    • Keep abreast with SOTA techniques in your area and exchange knowledge with colleagues.

We'll love to explore more about you if you have:

    • Bachelors in Computer Science or Mathematics related fields with 4+ years of experience in Machine Learning and NLP.
    • Knowledge and practical experience in solving NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation
    • Knowledge and hands-on experience with Transformer-based Language Models like RoBERTa, DeBERTa, T5, Flan-T5, etc.
    • Deep familiarity with internals of at least a few Machine Learning algorithms and concepts.
    • Experience with Python and a Deep Learning framework like Pytorch/Tensorflow.
    • Knowledge of basic Data Structures and Algorithms.
To know about us: https://thelevel.ai/
Full-time
Senior
Natural Language Processing
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MLOps Engineer - AI (Remote, India)
Level AI
India
Level AI is a Series B funded Mountain View, CA-based startup innovating in the Voice AI space. We are backed by top VCs, technologists from Silicon Valley, and industry experts. We are on a mission to revolutionize the customer sales experience for businesses. We are innovating in speech AI, NLP/NLU, and information retrieval systems to bring customers and businesses closer to one another.

As a critical member of the team, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us.

Role and responsibilities :

    • Create and develop ML Operations Pipelines which allow for controlled and continuous enhancement of existing and new ML features and training pipelines.
    • Design, build, and develop state of art machine Learning system infrastructure core components and architect platforms to create, train and deploy ML models.
    • Automate the operational support for model training and model serving pipelines.
    • Build operating dashboards and charts to track system errors, performance and enable root cause analysis.
    • Identify gaps and evaluate relevant tools and technologies as needed to improve processes and systems, leveraging open-source and cloud computing technologies to build effective solutions.
    • Collaborate with the AI team to drive ML projects from conception to completion and production monitoring.

Requirements :

    • Bachelors in Computer Science or related fields. 
    • Minimum 2 years experience in DevOps role combined with developing deployment/serving pipelines and orchestrating the deployment of ML models for production grade systems.
    • Minimum 1 year experience in Kubernetes, Docker, CI/CD tools, Prometheus, preferably working with ML models.
    • Minimum 1 year of experience with ML Operations tools such as KubeFlow, MLFlow, Metaflow, or Sagemaker.
    • Experience with Triton inference server, SeldonCore, K-Serve and related tool stack is a huge bonus.
    • Demonstrated experience serializing/exporting and serving deep learning models at scale, and deploying using modern ML platforms.
    • Strong troubleshooting skills to keep our ML models highly available.
    • You have a passion for learning and adopting new technologies with a focus on finding the right tool for the job, and a sense of ownership of your work.
    • Self-starter with excellent verbal and written communication and presentation skills.
To learn more visit : https://thelevel.ai/
Full-time
Mid Level
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Computer Vision Intern - AI (Remote, India)
Level AI
India
Level AI is a Series B funded Mountain View, CA-based startup innovating in the Voice AI space. We are backed by top VCs, technologists from Silicon Valley, and industry experts. We are on a mission to revolutionize the customer sales experience for businesses. We are innovating in speech AI, NLP/NLU, and information retrieval systems to bring customers and businesses closer to one another. As a critical member of the team, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us.

As a critical member of the team, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us.

As a Computer Vision Engineering Intern, you will be responsible for the Neural network workload analysis and modeling AI accelerators and testing.

Roles and Responsibilities :

    • As a Computer Vision Engineer, you’ll be working on several areas like Visual Recognition, Segmentation, Feature Extraction/Representation Learning.
    • You’ll be responsible for creating image-based deep learning systems and making them production ready., etc.
    • At Level AI, you’ll get your hands on millions of images and respective text data. Your job is to use this data and extract information from the data.
    • Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise-scale machine learning systems.
    • You will work with various stakeholders to understand their business requirements. Formulate the appropriate predictive solutions leveraging statistical and machine learning tools.
    • Prioritizing tasks and taking ownership with efficiently managing project timelines and deliverables.
    • Help shape the product roadmap and execute the modeling at scale.
    • Researching on SOTA models and implementing the models on the current data.
    • Collaborate with a cross-functional team to integrate computer vision technology into products and services.

Requirements :

    • A Bachelors/Masters degree in Computer Science, Information Technology, Electrical Engineering, Statistics or related field from Tier-I college.
    • Eligible batches: 2022, 2023 and 2024 passouts. Please refrain yourself from applying if you are not from these batches.
    • A deep understanding of computer vision, machine learning, and deep learning concepts and the ability to improve current models through finding the right area of improvement.
    • Strong problem-solving skills with the ability to think from the first principles.
    • Strong proficiency in Python.
    • Experience in any one of the deep learning frameworks like Pytorch/Tensorflow.
    • A thorough understanding of the mathematics behind the various deep learning algorithms.

    • Preferred skills, but not a must-have:
    • Worked on projects that involved multimodal machine learning (for example, text+image classification).
    • Worked on projects that included feature extraction from images and a good understanding of clustering and distance metrics.
    • Experience in Self-Supervised and Semi-Supervised learning.

    • So, if you are someone who is passionate about AI and has a strong desire to work in a fast-paced, dynamic environment, with an ability to demonstrate the ownership capabilities, we strongly encourage you to apply.

      Skills: Python,computer vision,deep learning,machine learning,coding,problem solving,communication.
To learn more visit : https://thelevel.ai/
Full-time
Computer Vision