About the role

Role Overview

Senior MLOps / DevOps Engineer to design, implement, and maintain scalable ML and data platform solutions on Azure. You will establish best practices for CI/CD, Kubernetes-based deployments, and MLOps to enable reliable model development and deployment.

Responsibilities

Design and automate CI/CD pipelines using Azure DevOps
Architect and manage Kubernetes (AKS) environments for ML workloads
Enable end-to-end MLOps workflows across Azure ML and Databricks
Collaborate with Data Science and Engineering teams to improve scalability, reliability, and security

Requirements

Strong experience with Azure DevOps, CI/CD, and Kubernetes (AKS)
Experience with Azure, Azure ML, and Databricks
Solid understanding of MLOps and the ML lifecycle in production

Nice to Have

Terraform
Monitoring/observability tooling
ML model serving frameworks

About CRG

CRG is supporting a large US retail client operating over 2,000 stores across 21 states with more than 400,000 employees. The client focuses on sustainable retailing while investing in omni-channel growth and modern technology to improve shopping experiences.