Gen AI/ML
- Chennai, India
Posted yesterday
About the role
Exp : 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, Tensor Flow.
- 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