Senior Data Science Engineer

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.

#LI-SP1

Location

Woodland Hills, CA

Job Function

TECHNOLOGY

Role

Senior Engineer

Job Id

411998

Desired Skills

Python

Salary Range

$140,000-$160,000 a year

Desired Candidate Profile

Qualifications : BACHELOR OF COMPUTER SCIENCE