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2 months ago
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EXL·2 months ago
2 months ago

AWS Sage Maker

Pune, IndiaHybridSenior · 10+ yearsCloud Engineer

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Top 10%Top 10%: 74 out of 100

Top 10% of NextRaise users matched against Cloud Engineer roles in India.

Must-have skills for this role

  • aws
  • devops
  • amazon sagemaker
  • ci/cd

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Apply faster with autofill FREEThe NextRaise extension autofills your application in one click.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • 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
  • Defining persona-based roles with SageMaker Role Manager, creating SageMaker Unified Studio domains/user profiles, and managing VPC configurations.

What they're looking for

  • 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.

Nice to have

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

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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

Company

EXL
Pune, India

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from EXL's careers site·first seen 31 Aug 2026·last verified 8 Sept 2026·How we source jobs

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