Director, MLOps (Canada)
CAN, Ontario, Toronto, 250 Bloor Street East, Canada
CAD 113K-210K Executive-level Full Time
Tasks
- Collaborate with global AI teams and stakeholders
- Define MLOps capabilities and AI tooling
- Design model development and deployment solutions
- Drive R&D for advanced AI capabilities
- Ensure reliable environment setup for AI workloads
- Establish best practices for model validation and lifecycle management
- Guide automation and operational excellence for AI models
- Implement MLOps solutions and integrations
- Partner with product owners and data scientists
Perks/Benefits
- Dental insurance
- Disability insurance
- Flexible hours
- Health insurance
- Hybrid work
- Life insurance
- Mental health support
- Paid time off
- Retirement plans
- Vision coverage
Skills/Tech-stack
AI | AI Tooling | AI infrastructure | Agent Orchestration | Automation | Azure Agent | Azure Agent Services | CI/CD | Cloud Azure | Data platforms | Governance | Langchain | Lifecycle Management | MLOps | Machine Learning | Model Deployment | Model Lifecycle | Model Lifecycle Management | Model Validation | Monitoring | Operational excellence | Security Patterns
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | MLOps Engineer | Scientist
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