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MLOPS Engineer- Remote

Roles & Responsibilities

  • Strong experience with Azure cloud for ML deployments
  • Proficiency in Kubernetes for MLOps and container orchestration
  • Experience with Jenkins and CI/CD pipelines for ML workflows
  • Extensive experience designing and deploying end-to-end ML solutions in large-scale production systems

Requirements:

  • Design and development of CI, CD, and CT pipelines
  • Deploy machine learning models into production environments, including preparation for deployment and production testing
  • Support lifecycle management of deployed client models (retraining, releases, change management, monitoring and troubleshooting)
  • Deliver and maintain end-to-end ML solutions in large-scale production systems

Job description


Position: MLOPS Engineer
Location: Remote
Duration: Contract
Rate: DOE
  • MLOPS - strong in Azure, Kubernetes, Jenkins, CI/CD
  • Design and Development of CI, CD, CT Pipelines
  • Deploy machine learning models into production environments - models prep for deployment, models test in the production environment
  • Supports life cycle management of deployed Client models (e.g., retraining, new releases, change management, monitoring and troubleshooting).
  • Extensive experience in developing and deploying end-to-end machine learning solutions in large scale production systems.

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