Description

• Design/deploy ML pipelines and LLM-powered agents (RAG, Agentic AI) using AWS Bedrock, SageMaker, LangGraph
• Develop, train, and productionize ML models (churn, recommendation, forecasting) with MLOps practices
• Build RAG architectures, integrate LLM APIs, prompt engineering, and responsible AI guardrails
• Strong Python (Scikit-learn, TensorFlow, PyTorch); hands-on SageMaker; vector DBs (FAISS, Pinecone, OpenSearch)
• Must-have: Python, LangGraph/LangChain, Bedrock/OpenAI integration | Nice-to-have: LLM fine-tuning, LangSmith/W&B, AWS ML Specialty

Key Skills

Education

Bachelor's degree