Description

Key Responsibilities
• Build and maintain CI/CD/CT pipelines for ML models using Azure DevOps / GitHub Actions/Jenkins
• Develop and manage deployment workflows for:
o Databricks Jobs
o MLflow models
o Microservices running on AKS / ARO
• Automate infrastructure using Terraform, scripting, and GitOps practices
• Manage and optimize:
o Databricks workspaces
o AKS clusters
o Networking and model serving environments
• Implement monitoring, logging, and alerting for ML systems and platform reliability
• Collaborate closely with ML engineers, data engineers, and application teams
• Ensure security best practices, governance, and cost optimization across MLOps pipelines
Required Skills
• Strong hands on experience with Azure, AKS, ARO and Databricks
• Solid experience with MLflow, Kubernetes based model deployments
• Proficiency in Python and Bash / PowerShell
• Good understanding of cloud security, networking, and distributed systems

Key Skills

Education

Bachelor's degree