Must Have Technical/Functional Skill
Python (Expert level)
Machine Learning & Model Training
o Training, evaluation, fine tuning
o Tagging and labeling workflows
Generative AI & LLMs
o Prompt engineering for LLM-based applications
Document Processing
o Document extraction, parsing, and chunking
o Handling structured & unstructured data
Embeddings & Vector Search
o Embedding generation
o Vector database integration
Databases
o Vector Databases
o MongoDB
Production-grade ML Engineering
o Scalable, production-ready ML/GenAI solutions
Roles & Responsibilities
This role is for a hands-on Data Science 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 workflowsfrom data preparation, tagging, and labeling, through model training, evaluation, and fine-tuningwhile 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:
o ML Engineering
o Applied Data Science
o GenAI / 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 Agentic 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
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.
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