Description

You will build and deploy intent classification, entity recognition, and text generation models.

Responsibilities

• Architect LangChain/LangGraph workflows for autonomous agents and RAG systems.
• Develop scalable ML pipelines using AWS SageMaker, Lambda, Bedrock, Step Functions, DynamoDB, Athena.
• Fine-tune and integrate foundation models (Claude, LLaMA, Titan, GPT-4, etc.) via AWS Bedrock.
• Lead experimentation, A/B testing, and model evaluation.
• Mentor junior engineers and establish best practices in MLOps and responsible AI.

Required Skills

• 7+ years in ML with focus on NLP & Generative AI.
• Proficiency in Python, PyTorch, HuggingFace, sci-kit-learn.
• Strong expertise in LangChain, LangGraph, vector databases (FAISS, Pinecone).
• Deep knowledge of AWS Bedrock & cloud-native ML architecture.
• Experience with AWS SageMaker, Lambda, Bedrock.
• Experience with NLP and Generative AI models.

Preferred Skills

• RAG systems and vector search implementation.
• Experience with streaming data.

Key Skills

Education

Any Graduate