Role: AI-ML Engineer

Experience: 8+

Location: Indore, Pune, Hyderabad

Responsibility

Generative AI Solution Development

- Design, develop, and deploy enterprise-scale Generative AI applications using Large Language Models (LLMs).
- Develop AI-powered assistants, copilots, document intelligence systems, and workflow automation solutions.
- Build production-ready GenAI applications leveraging AWS Bedrock and foundation models.
- Implement model orchestration frameworks for complex reasoning and task execution.

Design AI systems capable of handling structured and unstructured enterprise data. Multi-Agent Architecture Development

- Design and implement intelligent Multi-Agent Systems using LangGraph, LangChain, CrewAI, or similar frameworks.
- Develop autonomous AI agents capable of task planning, execution, reasoning, and collaboration.
- Build agent orchestration frameworks for business process automation.

Retrieval Augmented Generation (RAG)





- Architect and develop enterprise RAG solutions for knowledge discovery and conversational search.
- Build document ingestion, chunking, embedding generation, and semantic retrieval pipelines.
- Develop vector search applications using ChromaDB, FAISS, Pinecone, OpenSearch, or equivalent vector databases.

Data Engineering & Preprocessing

- Build scalable data ingestion pipelines for structured, semi-structured, and unstructured data sources.
- Develop ETL workflows using Python and PySpark for large-scale document processing.
- Process PDFs, Word documents, emails, websites, and enterprise knowledge repositories.
- Implement document parsing, metadata extraction, data cleansing, normalization, and enrichment.
- Create embedding generation and indexing frameworks.

📌 AI-ML Engineer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad