Data Science Engineer

Job DescriptionMust 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 codePython, Large Language Models (LLMs) (via LLM‑based applications), Vector Databases, MongoDBRoles & ResponsibilitiesWe 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 systemsKey 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 readinessSalary Range $95000 -$135,000 yearsTCS Employee Benefits SummaryDiscretionary 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