Software Engineer

7 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Contractual

Job Description

Position:

Experience:

Shift:

Senior MLOps Engineer


Key Responsibilities

  • Develop and maintain

    AWS SageMaker

    pipelines for training, processing, and model management.
  • Automate batch insights and deploy precomputed artifacts using

    DynamoDB + DAX

    .
  • Build

    on-demand services

    (Lambda/ECS) for real-time model usage.
  • Manage

    CI/CD pipelines

    using

    GitHub Actions

    and

    Terraform

    across environments.
  • Monitor ML jobs, costs, and performance using

    CloudWatch

    ; ensure rollback safety.
  • Enforce

    security, governance, and infrastructure best practices

    .


Required Skills

  • 7+ years of experience in

    MLOps / ML Engineering

    with production ML pipelines.
  • Strong expertise in

    AWS (SageMaker, Step Functions, ECR, Lambda, DynamoDB, DAX)

    .
  • Proficiency in

    Python, Docker, Terraform

    , and

    GitHub Actions

    .
  • Experience in

    ML model deployment, monitoring, and cost optimization

    .
  • Excellent collaboration with Data Scientists and Engineers.


Qualification

  • Bachelor’s/Master’s in

    Computer Science, Engineering, or related field

    .
  • Proven experience operating

    ML systems in production

    with automation and reliability focus.


If Intrested. Please submit your CV to Khushboo@Sourcebae.com or share it via WhatsApp at 8827565832


Stay updated with our latest job opportunities and company news by following us on LinkedIn: :https://www.linkedin.com/company/sourcebae

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