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Delphi Consulting Middle East logo

Senior Machine Learning Engineer (5+ Yrs)

3 years

0 Lacs

India

Posted:4 days ago| Platform: Linkedin logo

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Skills Required

learning delphi consulting onboarding data analytics ai drive ml databricks collaboration design processing model azure code graphs documentation pipeline connect pyspark devops compensation certifications training support

Work Mode

Remote

Job Type

Full Time

Job Description

Ready to embark on a journey where your growth is intertwined with our commitment to making a positive impact? Join the Delphi family - where Growth Meets Values.


Delphi Consulting Pvt. Ltd.


About the Role:


What you'll do:


  • Design, develop, and manage ML pipelines within the

    Databricks

    ecosystem.
  • Deploy, monitor, and retrain ML models in production.
  • Work with

    Python

    ,

    PySpark

    ,

    Spark

    , and

    SQL

    for large-scale data processing and model development.
  • Build and manage

    CI/CD pipelines

    in

    Azure DevOps

    for seamless model and code deployments.
  • Develop and maintain

    LLM agents

    using diverse data sources including databases and knowledge graphs in a Databricks environment.
  • Collaborate closely with remote

    data engineers

    ,

    backend developers

    , and

    frontend developers

    to integrate ML models into applications.
  • Perform code reviews and contribute to code quality standards.
  • Create clear and concise documentation to track pipeline and model performance.


What you'll bring:


  • 2–3 years of hands-on experience with Databricks

    , including ML and data pipeline management.

  • 1–2 years of experience building AI/LLM agents

    that connect with Databricks.
  • Strong proficiency in

    Python

    ,

    SQL

    ,

    PySpark/Spark

    .

  • 3+ years of experience with Git

    for version control and collaboration.

  • 1–3 years of experience deploying machine learning models

    in production environments using Databricks.

  • 2+ years of DevOps experience

    , ideally in cloud environments.


What We Offer:


competitive compensation package, performance-based incentives,

remote work

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