What are the responsibilities and job description for the Senior MLOps / DevOps Engineer position at TalentBurst, an Inc 5000 company?
Job Description – Senior MLOps / DevOps Engineer
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.