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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.
#LI-SP1
Location
Woodland Hills, CA
Job Function
TECHNOLOGY
Role
Senior Engineer
Job Id
403443
Desired Skills
Artificial Intelligence
Salary Range
$110,000-$150,000 a year
Desired Candidate Profile
Qualifications : BACHELOR OF COMPUTER SCIENCE
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