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AI/ML Engineer - Woodland Hills, CA | TCS Job


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Job Opportunity Details

Type

Full Time

Salary

Not Telling

Work from home

No

Weekly Working Hours

Not Telling

Positions

Not Telling

Working Location

Woodland Hills, CA, Woodland Hills, CA, United States   [ View map ]
Must Have Technical/Functional Skills

•Python (Expert level)
•Machine Learning & Model Training 
oTraining, evaluation, fine tuning
oTagging and labeling workflows
•Generative AI & LLMs 
oPrompt engineering for LLM-based applications
•Document Processing 
oDocument extraction, parsing, and chunking
oHandling structured & unstructured data
•Embeddings & Vector Search 
oEmbedding generation
oVector database integration
•Databases 
oVector Databases
oMongoDB
•Production-grade ML Engineering 
oScalable, production-ready ML/GenAI solutions

Roles & Responsibilities
This role is for a hands-on AI/ML Engineer who will design, build, and deploy production‑grade Machine Learning and Generative AI solutions. The candidate must have strong Python expertise and practical experience taking ML and GenAI use cases from development to deployment.
The role focuses heavily on LLM-based applications, including prompt engineering, document processing pipelines, and embedding-based search solutions. The engineer will work with both structured and unstructured data, building pipelines for document extraction, parsing, and chunking, and integrating ML models with Vector Databases and MongoDB.

An ideal candidate is someone who understands end-to-end ML workflows—from data preparation, tagging, and labeling, through model training, evaluation, and fine-tuning—while ensuring solutions are scalable, high quality, and production ready.

For recruiter to interpret accurately
•Not a pure data analyst → this is an engineering-focused ML/GenAI role
•Not theoretical AI → requires real-world deployment experience
•Strong fit for candidates with backgrounds in: 
oML Engineering
oApplied Data Science
oGenAI / LLM application development


Key Responsibilities
•Design and implement AI/ML solutions using Python and modern ML frameworks
•Develop and optimize Prompt Engineering strategies for LLM-based systems
•Build and deploy Retrieval-Augmented Generation (RAG) pipelines
•Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications
•Develop and orchestrate Agent ic AI workflows with tool/function calling
•Implement vector search solutions using Vector Databases
•Ensure CI/CD integration and cloud deployment (Azure preferred)
•Establish observability, monitoring, and evaluation frameworks for AI systems
•Collaborate with cross-functional teams to deliver production-ready AI features

Generic Managerial Skills, If any
•Ability to explain complex ML / GenAI concepts to non‑technical stakeholders and collaborate effectively with cross‑functional teams.
•Strong analytical thinking to break down ambiguous business problems into workable ML or GenAI solutions.
•Takes end‑to‑end responsibility for solutions—from design to production readiness—without constant supervision.
•Works well with data engineers, product owners, and platform teams to deliver integrated, scalable solutions.
•Actively keeps up with evolving ML, LLM, and GenAI technologies and improves skills proactively.



Salary Range: $140,000 -$165,000 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

More Information

Application Details

  • Organization Details
    TCS / Tata Consultancy Services
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