(Canada) Principal ML System Engineer
Remote or Mississauga
R
CAD 153K-200K (estimate) Senior-level Full Time
Tasks
- Create multi quarter ML platform strategy and roadmap
- Define reference architectures and standards for ML pipelines
- Define secure scalable integration with existing systems and data sources
- Define technical vision for machine learning platform
- Design reliability observability and performance practices for ML production
- Implement security architecture for ML platform
- Provide technical leadership and mentorship for ML infrastructure
- Set MLOps best practices for model training deployment and serving
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Alerting | Audit Logging | Authentication | Automated remediation | Azure | Azure Machine Learning | CI/CD | Compliance Monitoring | Databricks | Docker | Experiment tracking | Feature Store | Google Cloud | Inference Optimization | Java | Kubeflow | Kubernetes | LLM | Large model | Large model training | MLOps | MLflow | Machine Learning | Model Deployment | Model Registry | Model Serving | Model Training | Monitoring | Network Security | Observability | Python | Ray | Role-Based Access | Role-Based Access Control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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