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AWS Sage Maker

EXL Service · State of Mahārāshtra, India

3–10 yrs experiencefull_timePosted 2w ago
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Job description

Job Description: 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 Responsibilities: 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 Qualifications: 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