3 - 6 years

3 - 7 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title: MLOps Engineer - c2h

About the Role

MLOps Engineer

Key Responsibilities

  • Design, build, and maintain ML pipelines for deployment and monitoring.
  • Automate workflows to improve scalability and reduce manual intervention.
  • Optimize performance of ML models in production environments.
  • Collaborate with cross-functional teams to integrate ML solutions into business applications.
  • Implement CI/CD practices for ML workflows.
  • Ensure code quality and reliability using tools like SonarQube and Git.

Required Skills & Experience

  • Strong expertise in

    Databricks, SQL, Python, and PySpark

    .
  • Hands-on experience with

    CI/CD pipelines

    .
  • Practical exposure to

    Jenkins, SonarQube, Jira, and Git

    .
  • Solid understanding of ML lifecycle management and monitoring.
  • Ability to work in fast-paced environments and deliver results.

Preferred Qualifications

  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Knowledge of containerization (Docker, Kubernetes).
  • Familiarity with model monitoring tools and ML observability frameworks.

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