AI ML Engineer

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.