AWS Sage Maker at Exl in Pune, Maharashtra, IN

ExperiencedHybridPune, Maharashtra, IN

Skills

awsamazon sagemakerdevopsci/cddockersagemaker endpointsvpcpythonsqlshell scriptingdata pipeline architecturesreobservabilityadapting to changeattention to consistencyinterpersonal dynamics with coworkersresults orientationtime management skillsworking under pressurewriting communication skillsaws architecture

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

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