Data Science Engineer

Must Have Technical/Functional Skills • Advanced Python development for ML/AI workloads • Endtoend ML lifecycle: model training, evaluation, finetuning, 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 • Productiongrade ML engineering: scalable, maintainable, and deploymentready code Python, Large Language Models (LLMs) (via LLMbased 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 $95000 -$135,000 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 & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

Created: 2026-03-10