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Full-Time Opportunity: This is a permanent, full-time position with a competitive package and real career growth potential.
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...