About the Role

We are looking for a hands-on Senior MLOps Engineer with strong experience in Azure, Databricks, MLflow, and Kubernetes-based deployments. This role is focused on building and automating end-to-end ML deployment pipelines, managing AI/ML infrastructure, and enabling ML teams to deploy models reliably at scale.

This is not a traditional DevOps or Cloud Operations role. We are specifically looking for professionals who have worked closely with Data Science and Machine Learning teams to operationalize ML models in production environments.

What You'll Be Doing

• Design, build and maintain CI/CD/CT pipelines for Machine Learning workloads.
• Automate deployment of MLflow models and Databricks workloads.
• Deploy and manage AI/ML services on AKS and OpenShift (ARO).
• Build Infrastructure-as-Code using Terraform.
• Implement monitoring, logging, observability, and go...