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ML OPS - Senior Engineer

4 - 7 years

5 - 9 Lacs

noida

Posted:1 day ago| Platform: Naukri logo

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Skills Required

orchestration data science gcp configuration management finance devops machine learning management aws python

Work Mode

Work from Office

Job Type

Full Time

Job Description


  • 5+ years of experience

    in

    ML Ops

    engineering or a related field.

  • Strong proficiency in

    Python

    , with experience in

    machine learning libraries

    such as

    TensorFlow

    ,

    PyTorch

    ,

    scikit-learn

    , etc.

  • Extensive experience with

    ML Ops frameworks

    like

    Kubeflow

    ,

    MLflow

    ,

    TensorFlow Extended (TFX)

    ,

    KubeFlow Pipelines

    , or similar.

  • Strong experience in deploying and managing machine learning models in

    cloud environments

    (AWS, GCP, Azure).

  • Proficiency in managing

    CI/CD pipelines

    for ML workflows using tools such as

    Jenkins

    ,

    GitLab

    ,

    CircleCI

    , etc.

  • Hands-on experience with

    containerization

    (Docker) and

    orchestration

    (Kubernetes) technologies for model deployment.

  • Skills : SageMaker, PySpark, AWS Services ; Nice to have: MLOps

Mandatory Competencies
Data Science and Machine Learning - Data Science and Machine Learning - AI/ML
Data Science and Machine Learning - Data Science and Machine Learning - Python
Data Science and Machine Learning - Data Science and Machine Learning - Pytorch
Beh - Communication
Development Tools and Management - Development Tools and Management - CI/CD
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

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