- Employment type
- Full-time · On-site
- Posted
- September 27, 2026
- Province
- Ontario (ON)
Hiring confidence: Sparse posting · 22/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in Ontario. Waabi is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Ontario
Average salary for Senior / Staff ML Ops Engineer in Ontario
We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.
NOC code
This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.
Typical qualifications for Canadian employers
- Significant experience in MLOps or related infrastructure engineering roles
- Proficiency with cloud platforms and containerization
- Strong software engineering fundamentals
- Experience with ML model deployment and management
- Knowledge of CI/CD practices and tools
Fit check
Is this role right for you?
Top skills this posting asks for:
- Machine Learning Operations
- MLOps
- Infrastructure Management
Jobily reads your resume against this posting and scores the fit — the skills you already have, the gaps, and what to change before applying. Signed-in Premium members see the score at the top of this page.
Scan your resume to see your fitKeep looking
Similar jobs
What you'll do
- Design and implement MLOps infrastructure and pipelines
- Manage machine learning model deployment and lifecycle
- Develop tools and systems for model monitoring and performance tracking
- Collaborate with ML researchers and engineers to productionize models
- Build scalable infrastructure supporting autonomous transportation projects
- Ensure reliability and efficiency of ML systems in production
- Contribute to team growth and knowledge sharing
What you'll need
- Significant experience in MLOps or related infrastructure engineering roles
- Proficiency with cloud platforms and containerization
- Strong software engineering fundamentals
- Experience with ML model deployment and management
- Knowledge of CI/CD practices and tools
- Ability to work in collaborative, fast-paced environments