Machine Learning Engineer, Enterprise MLOps
Toronto-81 Bay, 16th Floor, Canada
CAD 50K-59K (estimate) Mid-level Full Time
Tasks
- Automate data ingestion pipelines
- Automate model training, validation, and deployment
- Build and maintain MLOps workflows
- Conduct code reviews
- Contribute to documentation
- Design CI/CD pipelines
- Ensure audit ready compliance workflows
- Ensure reproducibility and traceability
- Implement monitoring and alerting for machine learning
- Integrate ML pipelines into production systems
- Manage deployment environments
- Mentor peers and junior team members
- Package models for deployment
- Support governance and Model Risk Management
Perks/Benefits
Skills/Tech-stack
Alerting | Azure | CI/CD | Cloud Computing | Databricks | Git | Infrastructure Engineering | Infrastructure as Code | Kubernetes | MLOps | Machine Learning | Model Risk Management | Model risk | Monitoring | Python | Risk Management | “as-code”
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
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