4 - 6 years

7 - 15 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role & responsibilities

  • Design, develop, and optimize scalable ML pipelines using Python and modern ML engineering tools.
  • Implement feature stores, model versioning, and model serving using tools like

    Feast

    ,

    Kubeflow

    , and

    MLflow

    .
  • Work closely with data scientists to productize machine learning models in production environments.
  • Write and maintain

    Dockerfiles

    and

    Kubernetes YAML

    configurations to containerize and deploy models and services.
  • Apply performance tuning and optimization techniques to improve ML pipeline efficiency.
  • Work in Big Data environments and integrate with data platforms when required.
  • Collaborate with cross-functional teams including data engineering, DevOps, and product teams to deliver ML solutions.
  • Maintain documentation, ensure version control, and follow best practices for reproducibility and model governance.

Preferred candidate profile

  • 5+ years of experience in

    Python programming

    with focus on performance tuning and optimization.
  • Proficiency in

    NumPy

    ,

    Pandas

    , and data frame operations.
  • Hands-on experience with

    Feast

    ,

    Kubeflow

    , and

    MLflow

    .
  • Solid understanding of

    Docker

    and

    Kubernetes

    ; ability to write and manage YAML configurations.
  • Working knowledge of

    Big Data

    environments (Spark, Hadoop, etc.) is a plus.
  • Strong analytical and problem-solving skills with meticulous attention to detail.
  • Excellent communication and interpersonal skills; ability to thrive in a fast-paced and collaborative environment.
  • Solid understanding of machine learning and data science fundamentals.

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