Job Description
Design and manage cloud infrastructure using AWS services such as EKS, EC2, SageMaker, Lambda, and S3.Automate cloud resource provisioning and configuration using Terraform and Infrastructure as Code (IaC) best practices.Implement CI/CD pipelines for ML model deployment using GitHub Actions, Jenkins, or AWS CodePipeline.Monitor and optimize ML workflows in Databricks, ensuring performance, scalability, and reliability.Collaborate with data scientists and product teams to operationalize ML models and integrate them into production systems.Develop robust APIs for model serving using FastAPI, supporting synchronous, asynchronous, and streaming inference.Build and maintain front-end interfaces using React to visualize model outputs, monitor pipeline health, and support user interaction with ML services.Apply software engineering principles to develop scalable, maintainable, and testable code across the ML lifecycle.