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