Sagemaker_ML Ops_Developer

7 - 9 years

25 - 30 Lacs

Posted:21 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Role Overview - SageMaker MLOps Developer:

SageMaker MLOps Developer

Key Responsibilities:

  • Develop MLOps Pipelines

    Build and automate ML workflows using

    AWS SageMaker

    ,

    SageMaker Pipelines

    , and

    Step Functions

    for training, deployment, and monitoring.

  • Model Lifecycle Management

    Manage models through development, staging, and production using

    SageMaker Model Registry

    .

  • CI/CD Integration

    Implement CI/CD pipelines for ML projects using

    AWS CodePipeline

    ,

    CodeBuild

    , and Git-based workflows.

  • Data Preparation & Feature Engineering

    Collaborate with data engineers and scientists to prepare datasets and optimize feature pipelines on AWS.

  • Monitoring & Governance

    Set up monitoring for model performance, data drift, and compliance using

    Amazon CloudWatch

    ,

    SageMaker Model Monitor

    , and

    AWS Config

    .

  • Security & Compliance

    Ensure proper IAM roles, encryption, and governance for ML workflows.

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