Data Science Senior Engineer

Must Have Technical/Functional Skills

• 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: $110000 -$150,000 years

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.

Qualifications: BACHELOR OF COMPUTER SCIENCE