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

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