Senior MLOps / DevOps Engineer

About

We are looking for a Senior MLOps/DevOps Engineer to support the design, implementation, and maintenance of scalable ML and data platform solutions on Azure. This role will drive best practices in CI/CD, Kubernetes-based deployments, and MLOps, enabling reliable and efficient model development and deployment.

Key Responsibilities:

• CI/CD pipeline design and automation using Azure DevOps
• Architect and manage Kubernetes (AKS) environments for ML workloads
• Enable end-to-end MLOps workflows across Azure ML and Databricks
• Partner with Data Science and Engineering teams to improve scalability, reliability, and security

Required Skills:

• Strong expertise in Azure DevOps, CI/CD, and Kubernetes (AKS)
• Experience with Azure cloud, Azure ML, and Databricks
• Solid understanding of MLOps and ML lifecycle in production environments

Nice to Have:

• Terraform, monitoring/observability tools, ML model serving frameworks

Why TalentBurst?

At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth.

Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships.

We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options.

TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.