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Machine Learning Model Operations ( MLOps)

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Hybrid

Machine Learning Model Operations ( MLOps)

EXL

Machine Learning Model Operations ( MLOps)

Skills

Google Cloud PlatformDockerPythonDatabricksGitGitLabJenkinsMachine LearningAWSGitHubKubernetesPySparkAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

2 September 2026

What they need


Machine Learning Model Operations (MLOps) having strong experience on Databricks platform with MLOps & CI/CD Tools .

Please find the below high-level requirements.

  1. MLOps & CI/CD: Experience building and managing CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or similar automation tools.
  2. Programming: Strong proficiency in Python and PySpark for data processing and model deployment workflows.
  3. Containerization & Orchestration: Hands-on experience with Docker and Kubernetes for packaging, containerizing, and deploying ML models.
  4. Version Control: Experience with Git/GitHub/GitLab and Model Codes release management practices.
  5. Cloud Platforms (Preferred): Working knowledge of AWS, Azure, or GCP environments.

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