Must Have Technical/Functional Skill
Advanced Python development for ML/AI workloads
End-to-end ML lifecycle: model training, evaluation, fine-tuning, and labeling/tagging workflows
Generative AI systems design, including LLM-based application development
Prompt engineering optimization for large language models
Document AI pipelines: OCR/extraction, parsing, normalization, and text chunking for structured & unstructured data
Embedding generation pipelines for semantic search and retrieval
Vector similarity search implementation using vector databases
ML model integration with Vector DBs and MongoDB
Production-grade ML engineering: scalable, maintainable, and deployment-ready code
Python, Large Language Models (LLMs) (via LLM-based applications), Vector Databases, MongoDB
Roles & Responsibilities
We are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions. The ideal candidate will have deep expertise in Python, hands-on experience in model training, document processing pipelines, and strong knowledge of vector databases and modern ML/GenAI frameworks.
Strong fit if the candidate:
Has expert level Python skills
Has hands on experience building ML/GenAI systems, not just theoretical knowledge
Has worked on end to end ML pipelines (data ? model ? deployment)
Has experience with document AI, embeddings, and vector search
Thinks like an engineer (scalable, maintainable, production ready code)
Likely not a fit if the candidate is:
Primarily a BI / reporting analyst
Focused only on statistical modeling or academic research
Lacking experience with deployment, pipelines, or GenAI systems
Key Responsibilities
Develop and deploy machine learning and GenAI solutions using Python
Design and optimize prompt engineering strategies for LLM-based applications
Build document extraction, parsing, and chunking pipelines for structured and unstructured data
Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows
Implement embedding generation and vector search solutions
Integrate ML models with Vector DBs and MongoDB
Ensure code quality, scalability, and production readiness
Salary Range: $140,000-$160,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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