Principal AI/ML Engineer
- Employment type
- Full-time · On-site
- Posted
- September 25, 2026
- NOC code
- 21211 — Data scientists
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 11/100
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. The Canadian NOC code for this position is 21211 — Data scientists. The Vanguard Group 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 does not state a salary either.
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/ML Architecture
- Machine Learning
- System Design
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What you'll do
- Transform state-of-the-art AI research into scalable, production-ready capabilities
- Lead architecture of advanced AI systems
- Engineer operationalization of AI systems
- Ensure ongoing reliability of AI systems
- Manage scaling across enterprise environments
- Maintain rigorous standards for performance, security, and resilience
- Implement responsible AI practices
- Deliver measurable value for clients
What you'll need
- Senior technical leadership experience
- Expertise in AI/ML systems architecture
- Production-ready AI system deployment experience
- Enterprise environment scalability knowledge
- Understanding of performance and security standards
- Responsible AI practices knowledge