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Gen AI/ML

Actively Reviewing the Applications

Tata Consultancy Services

India, Maharashtra, Mumbai Full-Time On-site
Posted 17 hours ago Apply by June 7, 2026

Job Description

Location : Pan India


Exo : 7- 15 Yrs


Build, fine-tune, and optimize Large Language Models (LLMs) for banking-specific use cases (credit risk, AML, KYC, audit, compliance, customer service, etc.).

Develop RAG pipelines, vector databases, embeddings, and multimodal retrieval systems.

Design and integrate agentic AI workflows, autonomous agents, and multi-agent orchestration for complex banking tasks (case investigation, decision reasoning, trade surveillance alerts, credit assessment, etc.).

Implement prompt engineering, prompt-chaining, and guardrails for safe and compliant GenAI outputs.

Work with open-source and proprietary models (OpenAI, Gemini, Llama, Claude, Mistral, Falcon, etc.).

Proficiency with Python, LangChain / LlamaIndex, HuggingFace, PyTorch, TensorFlow.

Experience with RAG pipelines, embedding models, vector databases (FAISS, Pinecone, Milvus, Chroma, OpenSearch).

Hands-on with agentic AI frameworks (LangGraph, Autogen, CrewAI, Haystack Agents, Swarm).

Experience with Azure OpenAI / AWS Bedrock / GCP Vertex AI.

Machine learning experience across supervised, unsupervised, time-series, and NLP.

Strong knowledge of ML Ops & LLM Ops (Sagemaker, Vertex AI, Azure ML, MLflow, Kubeflow).

Understanding of DevOps, CI/CD, Docker, Kubernetes, microservices

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