ModelOps Automation Engineer
Job Summary:
The ModelOps Automation Engineer will help automate and enhance the model lifecycle process, improve governance, and integrate testing and deployment for machine learning workflows.
The role focuses on improving reliability and auditability of ML models in production.
Responsibilities:
- Automate ModelOps workflows for AI governance and lifecycle tracking
- Develop and enhance CI/CD pipelines for model deployment on Databricks
- Deploy solutions in non-prod environments for functionality validation
- Collaborate with Data Scientists to integrate models into production
- Implement unit and integration testing for model development pipelines
Required Skills & Technologies:
- Databricks (Unity Catalog, Delta Lake, MLFlow, Feature Store, Model Registry, Workflows, Monitoring)
- Jenkins, GitHub, Python, Snowflake, Terraform, AWS
- Experience in MLOps/ModelOps automation and deployment pipelines