Description

Key Responsibilities:

Design and develop Generative AI applications using Large Language Models (LLMs).

Build, train, evaluate, and deploy Machine Learning models.

Develop AI-powered APIs and microservices for enterprise applications.

Implement Retrieval-Augmented Generation (RAG) solutions and prompt engineering techniques.

Utilize AWS AI/ML services such as Amazon Bedrock, SageMaker, Lambda, ECS/EKS, and API Gateway.

Integrate AI solutions with cloud-native applications and enterprise platforms.

Perform model monitoring, optimization, and performance tuning.

Collaborate with business stakeholders and development teams to deliver scalable AI solutions.

Required Skills

Generative AI, LLMs, Prompt Engineering, and RAG

Machine Learning (Python, TensorFlow, PyTorch, Scikit-Learn)

AWS Cloud (Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway)

Preferred Skills

MLOps and CI/CD for AI/ML deployments

Vector Databases (Pinecone, OpenSearch, FAISS, ChromaDB)

BFSI domain experience

Key Skills

Education

Any Gradute