Director, MLOps (Canada)
CAN, Ontario, Toronto, 250 Bloor Street East, Canada
CAD 113K-210K Executive-level Full Time
Tasks
- Architect MLOps capabilities
- Define experimentation to production pathways
- Design ML deployment pipelines
- Drive LLMOps tooling R and D
- Ensure dev test prod sandbox environments
- Establish model validation best practices
- Implement CI/CD for ML
- Implement GenAI guardrails for APIs
- Lead cross functional MLOps alignment
- Manage ML model lifecycle
- Monitor model performance
- Operationalize MLOps solutions
- Optimize model runtime in production
- Provide MLOps subject matter expertise
- Support observability and operational excellence
Perks/Benefits
- Dental insurance
- Disability insurance
- Health insurance
- Hybrid work environment
- Life insurance
- Paid time off
- Retirement savings plan
- Vision insurance
Skills/Tech-stack
AI Engineering | Adaptive Machine Learning | Agent Orchestration | Azure | CI/CD | Cloud Computing | Data Governance | Data Science | Data Science Platforms | Enterprise Architecture | GenAI | Infrastructure automation | LLMOps | MLOps | Machine Learning | Machine Learning Engineering | Model Governance | Model Monitoring | Model Validation | Observability | Real Time | Real-time Scoring | Risk Assessment | Security Compliance
Education
Roles
Engineer | Engineering Manager | ML Engineering Manager | MLOps Engineer | Manager
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