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Ml Engineer

4 - 9 years

17 - 27 Lacs

bengaluru delhi / ncr mumbai (all areas)

Posted:6 hours ago| Platform: Naukri logo

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Skills Required

python ai/ml deployment scikit-learn prometheus grafana tensorflow serving jenkins kubeflow pytorch docker gpu workloads ci/cd helm gitlab

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & Responsibilities:

  • Deploy and manage

    Kubernetes clusters

    with autoscaling using

    Karpenter

    .
  • Implement

    event-driven scaling

    with

    KEDA

    for dynamic workloads.
  • Optimize

    GPU workloads

    for compute-intensive tasks in Kubernetes.
  • Build and maintain

    Grafana dashboards

    with Prometheus integration.
  • Develop

    Python scripts

    for automation, IaC, and CI/CD pipelines.
  • Manage containerized deployments with

    Docker and Helm

    .
  • Collaborate on

    CI/CD workflows

    using Jenkins and GitLab.
  • Troubleshoot production issues ensuring

    high availability

    .
  • Mentor junior engineers and enforce DevOps best practices.

Must-Have Skills:

  • Golang (Mandatory)

    and

    Python

    expertise.
  • Strong hands-on with

    KEDA

    , Kubernetes, Docker, Helm.
  • CI/CD exposure with Jenkins / GitLab.
  • Knowledge of

    Grafana, Prometheus

    for monitoring.

Good-to-Have Skills:

  • AI/ML architecture knowledge (neural networks, inference).
  • Experience with ML deployment tools (

    Kubeflow, TensorFlow Serving

    ).
  • Familiarity with ML model development (

    PyTorch, scikit-learn

    ).

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