AI/ML Engineer

Toronto, Ontario

On-site

Full-time

No salary posted2 weeks ago

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Employment type: Full-time · On-site
Posted: October 20, 2026
NOC code: 21211 — Data scientists
Province: Ontario (ON)More in Ontario

Hiring confidence: Sparse posting · 0/100

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Job Overview

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Who we are For decades, insurance software has been built around rigid forms, portals and call centers that create friction for customers and drag for teams. Even as AI has advanced, most insurance work is still manual, slow and spread across disconnected systems. General Magic builds AI agents that handle quoting, follow-ups, document collection, verification, claims intake and broker communication, connected directly to carrier, MGA and broker systems. We've raised $7.2M USD from Radical Vent…

This role is based in Ontario. The Canadian NOC code for this position is 21211 — Data scientists. General Magic 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.

All Data Scientist jobs in Ontario

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What you'll do

Develop AI agents for insurance workflows
Build systems for quoting and document collection
Create verification and claims intake solutions
Integrate AI solutions with carrier and broker systems
Handle broker communication automation
Connect systems across multiple platforms

What you'll need

Experience building AI/ML systems
Strong programming background
Understanding of insurance industry preferred
Experience with AI agents or automation
System integration knowledge