About this role

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 ย ย 
  • 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.ย 
  • 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 ย ย 
  • 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.ย 
  • 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 ย ย 
  • 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.ย 
  • 5 + years AWS Architecture experience is highly desirable
  • AWS Solution Architect certification is highly desirable

Frequently Asked Questions

Is the salary disclosed for the AWS Sage Maker position at EXL Talent Acquisition Team?
The salary for this AWS Sage Maker role at EXL Talent Acquisition Team is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the AWS Sage Maker position at EXL Talent Acquisition Team located?
This AWS Sage Maker role at EXL Talent Acquisition Team is based in Pune, Maharashtra, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the AWS Sage Maker position at EXL Talent Acquisition Team?
Click the "Apply Now" button on this page. You will be redirected to EXL Talent Acquisition Team's official application portal hosted on oraclecloud where you can submit your application directly.
When was the AWS Sage Maker job at EXL Talent Acquisition Team posted?
This AWS Sage Maker position at EXL Talent Acquisition Team was posted on Jun 30, 2026. Apply as soon as possible โ€” early applications are often reviewed first.
AWS Sage Maker
EXL Talent Acquisition Team
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