ML Solutions Architect

Montréal, Québec

On-site

Full-time

No salary posted1 weeks ago

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Employment type: Full-time · On-site
Posted: October 23, 2026
Province: Quebec (QC)

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

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Job Description We are seeking an ML Solutions Architect who brings broad software engineering expertise along with strong machine learning-adjacent experience. In this role, you will lead the high-level design of systems that integrate ML models into our broader product suite. You will act as a technical consultant, evaluating customer requirements and determining whether they can be addressed with off-the-shelf solutions or should be escalated as specialized research initiatives for our Deep …

This role is based in Quebec. NBCUniversal 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 Quebec

Average salary for ML Solutions Architect in Quebec

Median $70,720 per year, with most postings between $50,000 and $99,409 (Architects, 2026-08, 5 postings). This posting does not state a salary.

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

Broad software engineering expertise
Strong machine learning-adjacent experience
Technical consultation capability
System design experience
Customer requirements evaluation skills

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What you'll do

Lead high-level design of systems that integrate ML models into product suite
Act as technical consultant for customer engagements
Evaluate customer requirements and feasibility
Determine whether requirements can be addressed with off-the-shelf solutions
Escalate specialized research initiatives as needed

What you'll need

Broad software engineering expertise
Strong machine learning-adjacent experience
Technical consultation capability
System design experience
Customer requirements evaluation skills