Strong experience in designing, developing, and deploying Generative AI and Machine Learning solutions on AWS using Bedrock, SageMaker, Python, MLOps, and cloud-native architecture Python, PySpark, SQL Machine Learning, Deep Learning, NLP Generative AI, LLMs, Prompt Engineering Amazon Bedrock, AWS SageMaker RAG (Retrieval Augmented Generation),

AI Agents LangChain, LangGraph, LlamaIndex AWS Services:

S3, Lambda, IAM, RDS, CloudWatch MLOps, MLflow, CI/CD Pipelines Docker, Kubernetes, Terraform REST APIs, FastAPI, Model Deployment & Monitoring Roles & Responsibilities Design, develop, and deploy AI/ML and Generative AI solutions using AWS services such as Bedrock, SageMaker, Lambda, and S3. Build and optimize RAG pipelines, LLM-based applications, AI agents, and model inference workflows to solve business problems. Develop scalable data pipelines and MLOps frameworks for model training, deployment, monitoring, and continuous improvement. Collaborate with business, data engineering, and cloud teams to deliver secure, production-ready AI solutions while ensuring performance, governance, and cost optimization. Generic Managerial Skills, If any Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence. Effective communication with business and technical stakeholders.