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Senior Data & AI Operations Engineer (AI SaaS Company)
SkyPoint Cloud Inc.
Bangalore, Karnataka
Who we are:

SkyPoint’s mission is to unify data integration, analytics, and AI into a cohesive SaaS offering powered by Data Lakehouse architecture.

Our Modern Data Stack Platform brings people and data together with a focus on enhancing the healthcare and senior living industries. We are proud partners of Microsoft, OpenAI, and Databricks.

Location: Global Technology Park, Bellandur, Bangalore, India (in-person office role, no remote or hybrid)

You will be responsible for running and managing data & AI pipelines, developing data quality management strategies, and ensuring customer success of SkyPoint Enterprise Data & AI SaaS platform. You will collaborate closely with cross-functional teams to identify and prioritize data & AI operational needs, ticket data and data pipeline issues, and drive continuous improvement of our data and AI operations. This role requires strong technical expertise, excellent problem-solving skills, and a passion for delivering high-quality data operations and automation solutions.
 
A Day in the Life

* Collaborate with AI engineers, product managers, and other stakeholders to understand client data and AI needs (real-time, batch and incremental) and translate to operational plans.
* Design, develop, and maintain automated data pipelines to ensure efficient and reliable AI platform operations.
* Write and execute complex data quality test cases, perform thorough regression testing, and analyze automation test results to identify and report data defects.
* Collaborate with platform R&D and professional services teams to promote testability, provide input on architectural design, and implement data testability.
* Identify areas for data ops process improvement, drive automation initiatives, and implement best practices to enhance overall efficiency and effectiveness of SkyPoint enterprise AI SaaS platform.
* Investigate and troubleshoot complex technical issues, working closely with development teams to ensure timely resolution.
* Establish and enforce quality standards, processes, and guidelines throughout the data operations lifecycle.
* Mentor and provide technical guidance to junior team members, assisting in their professional growth and development.
* Stay updated with the latest industry trends, emerging technologies, and best practices in data testing and quality assurance.
* Work on new technical solutions to improve automation framework and increase test productivity.

What You Need

* Bachelor's degree in Computer Science from a prestigious school with 5+ years of experience working in SDET or QA or Data Operations or Data Engineer Role.
* Strong programming skills in one or more languages, such as Python and tools like Azure Data Factory, Microsoft Fabric or Databricks.
* Proficiency in building and maintaining automated test scripts, test suites, and test data.
* Strong analytical and problem-solving skills, with the ability to debug complex issues and propose effective solutions.
* Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Educational Level:

- BS / BE / MS in Computer Science and Engineering.
Perks of working with us:

·       Opportunity to work with a US-based fast-growing SaaS start-up (Industry Data & AI).
·       Competitive total compensation package including equity and performance-based bonus plans.
·       Industry-focused certifications and ongoing training opportunities.
·       Company happy hours and fun team-building activities.
·       Meal cards, other incentives, and gift hampers.
·       Awards and recognition programs.
Full-time
Senior
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Senior Machine Learning & AI Engineer (Industry AI SaaS Company)
SkyPoint Cloud Inc.
Bangalore, Karnataka
Who we are:

SkyPoint’s mission is to unify data integration, analytics, and AI into a cohesive SaaS offering powered by Data Lakehouse architecture.

Our Modern Data Stack Platform brings people and data together with a focus on enhancing the healthcare and senior living industries. We are proud partners of Microsoft, OpenAI, and Databricks.

As an ML & AI Engineer at SkyPoint, you will help build cutting-edge technology with Databricks, MLflow, Open Source Models, OpenAI (GPT 4). Your focus will be automating data retrieval, feature extraction, model training, and deployment at scale. You will research new ML & AI tech and work with engineers to improve the AI/ML infrastructure.

Responsibilities:
Design, implement, and evaluate Generative AI models for healthcare industry.
Partner with TPMs and developers to build and deploy Generative AI systems to extract insights from senior care data.
Build a ML pipeline for data retrieval, preprocessing, feature extraction, model training, and deployment.
Design and implement a CI/CD pipeline for model training and deployment to production.
Create a monitoring platform to evaluate and retrain models as needed.
Lead the technical roadmap and evolve the ML infrastructure.
Develop various modules in the ML pipeline.
Build AI pipelines using semantic vector representations.
Fine tuning, training open source LLMs.
Choose the right algorithms and tools for Gen AI tasks.
Create benchmarking data for Gen AI tasks.Analyze results and refine models.

Requirements:
7+ years experience in Scala or Python for mission-critical apps.
2+ years experience in building ML and data pipeline architecture.
Experience in AI / Gen AI and ML.
Familiarity with deep learning techniques and ML algorithms.
Expertise in Python or Scala and experience with large datasets.
Knowledge of semantic representations, vector mapping & key means clustering.
Proven NLP Engineer experience or similar role.
Strong understanding of text representation techniques, statistics, and classification algorithms.
Familiarity with ML frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
Strong SQL and NoSQL database knowledge.
Track record of delivering successful software projects from conception to production.
Strong understanding of data structures and algorithms.

Education:

MS/PhD in Computer Science & Engineering from top-tier school (IITs, RECs, etc.).
Perks of working with us:

·       Opportunity to work with a US-based fast-growing SaaS start-up (Industry Data & AI).
·       Competitive total compensation package including equity and performance-based bonus plans.
·       Industry-focused certifications and ongoing training opportunities.
·       Company happy hours and fun team-building activities.
·       Meal cards, other incentives, and gift hampers.
·       Awards and recognition programs.
Full-time
Senior
Generative Models