About the Role
Job Description:
Key Responsibilities:
Generative AI & LLM Development:
Build and deploy RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases.
Develop agentic AI solutions using LangChain and AWS Bedrock/Foundational Models.
Fine-tune and optimize LLMs for domain-specific tasks, ensuring accuracy and performance.
Integrate vector databases (e.g., Pinecone, FAISS) for semantic search and knowledge base management.
Model Training & MLOps:
Train, evaluate, and deploy machine learning models on AWS SageMaker, including pipeline automation.
Implement MLOps best practices, including model versioning, CI/CD, monitoring, and performance tracking.
Collaborate with DevOps and Data Engineering to ensure scalable deployment and data readiness.
Integration & Communication:
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