AWS Sage Maker

Requirements 10+ years of experience with at least 7+ years of AWS cloud transformation & DevOps Experience in designing, deploying, and managing end-to-end machine learning (ML) lifecycles using Amazon SageMaker Designing and maintaining CI/CD pipelines for ML, containerizing models with Docker, and setting up SageMaker endpoints Monitoring model health, managing infrastructure, and ensuring data governance A strong understanding of evolving DevOps, SRE, Observability ecosystem in the context of hybrid cloud Defining persona-based roles with SageMaker Role Manager, creating SageMaker Unified Studio domains/user profiles, and managing VPC configurations. 5 + years AWS Architecture experience is highly desirable AWS Solution Architect certification is highly desirable