- Employment type
- Full-time · On-site
- Posted
- September 27, 2026
- Salary range
- $416,000–$728,000 CAD per year
- NOC code
- 21231 — Software engineers and designers
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Some gaps · 56/100
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 21231 — Software engineers and designers. YO AI Labs 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 $416,000–$728,000.
NOC code
21231 — Software engineers and designers. 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 Engineering
- Large Language Models (LLMs)
- RAG (Retrieval-Augmented Generation)
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.
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What you'll do
- Design AI/ML solutions for mission-critical initiatives
- Implement and optimize AI/ML systems
- Deploy secure, scalable AI solutions
- Contribute to proprietary AI infrastructure development
- Work with Large Language Models (LLMs)
- Implement RAG systems
- Develop multi-agent systems
- Utilize cloud AI platforms for production applications
What you'll need
- Experience with AI/ML solutions development
- Proficiency with Large Language Models (LLMs)
- Knowledge of RAG systems
- Experience with prompt engineering
- Experience with multi-agent systems
- Familiarity with cloud AI platforms
- Ability to build production-grade machine learning applications
- Understanding of security best practices for AI systems
- Remote work capability