Job Description

Job Description:

Azure MLOps Engineer

Location: Pan India

Required Skills and Experience:

  • 5+ years of experience in ML/AI/DevOps engineering, including Edge deployment.
  • Strong proficiency in OpenShift , Azure ML , and Terraform .
  • Hands-on experience with Kafka , Snowflake , and Function Apps .
  • Proven experience with CI/CD pipelines , preferably Azure DevOps and Argo .
  • Good understanding of monitoring tools (Prometheus , Grafana , AppInsights ).
  • Experience in secure deployments and managing private endpoints in Azure.

    • Key Responsibilities:

  • Model Deployment & Management: Deploy and manage ML models on OpenShift as REST APIs with real-time managed endpoints.Utilize Microsoft Azure ML for experimentation, model training, versioning, and lifecycl...

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