Senior AI Engineer - AI Platform & ML Engineering
- Employment type
- Full-time · On-site
- Posted
- September 23, 2026
- Salary range
- $135,000–$150,000 CAD per year
- NOC code
- 21211 — Data scientists
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Some gaps · 51/100
Some signals are missing from this posting. It may well be genuine, but it is worth confirming the role is still open before you invest time in applying. How this is scored
Job Overview
This role is based in Ontario. The Canadian NOC code for this position is 21211 — Data scientists. Aviso Wealth 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 Data Scientist in Ontario
We do not have a salary benchmark for this title in Ontario yet. The posting advertises $135,000–$150,000.
NOC code
21211 — Data scientists. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
A master's or bachelor's degree in a quantitative field, plus Python or R, statistical modelling and experience shipping models to production.
Licensing: No licence or registration is required.
Fit check
Is this role right for you?
Top skills this posting asks for:
- AI/Machine Learning
- Python
- ML Engineering
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
- Develop and maintain AI/ML platform infrastructure
- Design and implement machine learning solutions
- Lead AI engineering initiatives
- Mentor junior engineers
- Collaborate with cross-functional teams
- Improve financial technology solutions for wealth management
What you'll need
- Senior-level experience in AI/Machine Learning engineering
- Proven expertise in ML platform development
- Strong software engineering fundamentals
- Experience with production ML systems
- Leadership and mentoring capabilities