Senior Machine Learning Engineer
Toronto (8 Spadina Ave)
CAD 115K-160K (estimate) Senior-level Full Time
Tasks
- Define and enforce model lifecycle management standards
- Design and implement MLOps systems and platforms
- Implement safe deployment strategies
- Maintain low latency inference systems
- Mentor teams on machine learning engineering deployment
- Monitor and validate models in production
- Optimize data management strategies for performance
- Productionalize and support machine learning models
- Use CI CD best practices for model deployment
Perks/Benefits
- Commuter benefits
- Dental insurance
- Donation-matching program
- Employee assistance program
- Equity
- Fitness discounts
- Flexible work schedules
- Health insurance
- Mental health support
- Paid time off
- Parental leave
- Retirement matching
- Vision insurance
- Volunteer time off
- Wellness allowance
Skills/Tech-stack
Alerting | Backend Development | CI/CD | Canary Deployment | Cloud Computing | Continuous Delivery | Continuous integration | Data Ingestion | Distributed Systems | Feature Engineering | Golang | Gradual Rollout | Low Latency | Low Latency Inference | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Training | Model Validation | Model versioning | On-Premises | On-Premises Systems | Shadow Deployment | Traceability
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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