Senior Staff Engineer - ML Ops

Work Flexibility : Hybrid

What You Will Do :

• Design, build, and maintain end-to-end MLOps pipelines for ML model training, testing, and deployment.
• Collaborate with Data Scientists to productionize ML models in Azure ML and Azure Databricks.
• Implement CI / CD pipelines for ML workflows using Azure DevOps, GitHub Actions, or Jenkins.
• Automate infrastructure provisioning using IaC tools (Terraform, ARM templates, or Bicep).
• Monitor and manage deployed models using Azure Monitor, Application Insights, and MLflow.
• Implement best practices in model versioning, model registry, experiment tracking, and artifact management.
• Ensure security, compliance, and cost optimization of ML solutions deployed on Azure.
• Work with cross-functional teams (Data Engineers, DevOps Engineers, Data Scientists) to streamline ML delivery.
• Develop monitoring / alerting for ML model drift, data drift, and performance degradation.

What You Need : Required Skills

Preferred Skills :

Travel Percentage : 10%