Azure MLOps Engineer

DXC Technology • Bengaluru, Karnataka • Posted June 12, 2026

About the Role

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 lifecycle management.Configure privat...