MLOps Engineer | Chennai /Hyderabad | On-site | 3+ Years | Immediate Joiner

12 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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MLOps Engineer


Key Responsibilities

  • Build, deploy, and manage

    end-to-end ML pipelines

    from experimentation to production.
  • Develop and maintain

    CI/CD workflows

    for ML models.
  • Automate training, testing, monitoring, and retraining processes.
  • Manage

    model versioning, deployment, and scaling

    in production environments.
  • Ensure

    observability, logging, and monitoring

    for ML models and pipelines.
  • Collaborate with data scientists, data engineers, and software engineers to deliver robust ML solutions.
  • Optimize cost, performance, and reliability of ML infrastructure.


Required Skills

  • Strong proficiency in

    Python

    and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Hands-on experience with

    CI/CD tools

    (GitHub Actions, Jenkins, GitLab CI/CD, Argo).
  • Proficiency in

    Docker, Kubernetes, and container orchestration

    .
  • Experience with

    cloud platforms

    (AWS Sagemaker, Azure ML, GCP Vertex AI).
  • Knowledge of

    ML model monitoring, logging, and A/B testing

    .
  • Understanding of

    data pipelines, ETL, and feature stores

    .
  • Strong problem-solving and debugging skills.


Good to Have

  • Experience with

    infrastructure as code (IaC)

    using Terraform/CloudFormation.
  • Exposure to

    data versioning tools

    like DVC, MLflow, or Kubeflow.
  • Knowledge of

    security and compliance

    in ML systems.

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