Senior Staff Engineer - ML Ops

Responsibilities
- 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.
Qualifications
- Required Skills
11-15 years of experience in pro...