About the Role
About the Company
Our client, a major Canadian insurance and financial services organization known for its large national presence and commitment to modernization, is seeking to hire an ML Engineer (hybrid, 2 days/week in office).
About the Opportunity
- Design, build, and operate production-grade ML platforms on Databricks.
- Implement end-to-end MLOps workflows: experimentation – registry – deployment – monitoring.
- Develop CI/CD pipelines for ML (code, data, models) using tools like GitHub Actions or Azure DevOps.
- Operationalize model governance (mlflow tracking, registry, versioning, lineage).
- Deploy models for batch and real-time scoring, ensuring safe deployment and rollback strategies.
- Implement observability and monitoring for model performance, data drift, and operational health.
- Create standards, reusable templates, and documentation for consistent ML delivery.
- Partner with Data Scie...
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