ML Engineer

3 - 6 years

10 - 18 Lacs

Posted:4 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role & responsibilities

  • Design and manage

    end-to-end ML pipelines

    for deployment and monitoring.
  • Automate

    model training, retraining, and deployment workflows

    .
  • Implement

    CI/CD for ML models

    to ensure reliability and scalability.
  • Build

    real-time dashboards and APIs

    for model outputs and business consumption.
  • Optimize

    cloud resources (Azure Databricks, ADF, Azure ML)

    for performance and cost efficiency.
  • End-to-end

    model lifecycle management

    from development to deployment.
  • Collaborate with

    data scientists, engineers, and business teams

    to operationalize ML solutions.

Preferred candidate profile

  • 3+ years of experience in

    MLOps / Data Science and model deployment

    .
  • Strong skills in

    Python, PySpark, SQL

    and automation frameworks.
  • Hands-on experience with

    Azure ML, Databricks, Azure Data Factory

    .
  • Knowledge of

    containerization (Docker, Kubernetes)

    and

    model serving frameworks

    (MLflow, FastAPI, Flask).
  • Retail or e-commerce industry experience required.

  • Experience in

    end-to-end model development and deployment

    .

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