MLOps Engineer — AWS SageMaker

8 years

0 Lacs

india

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

aws sagemaker data analytics design ml automation model github monitoring logging drift iam vpc engineering python docker kubernetes security

Work Mode

Remote

Job Type

Contractual

Job Description

MLOps Engineer — AWS SageMaker


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Location:

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Role Overview

AWS SageMaker


Key Responsibilities

  • Build, deploy, and maintain ML models using

    AWS SageMaker

    (Pipelines, Endpoints, Model Registry)
  • Develop automated CI/CD workflows using

    CodePipeline, CodeBuild

    , or

    GitHub Actions

  • Implement model monitoring, logging, and drift detection (CloudWatch, SageMaker Model Monitor)
  • Create and maintain infrastructure using

    Terraform

    or

    CloudFormation

  • Manage secure, scalable, cost-optimized AWS environments (IAM, VPC, networking)
  • Collaborate with data scientists, cloud engineering teams, and solution architects
  • Troubleshoot issues in high-availability, production ML setups


Required Experience

  • 4–8 years total experience in MLOps / ML Engineering
  • Hands-on experience with

    SageMaker

    in enterprise-scale environments
  • Strong Python skills & familiarity with ML frameworks
  • Experience with Docker, Kubernetes (EKS preferred)
  • Experience building CI/CD pipelines
  • Deep practical knowledge of AWS ecosystem


Nice to Have

  • Experience implementing model governance
  • Experience with multi-model endpoints
  • Familiarity with enterprise security standards and compliance

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