ML Engineer: Build Intelligent Models & Systems
RetailogistsRole Overview
Retailogists is hiring a mid-level ML Engineer: Build Intelligent Models & Systems. This is a full-time hybrid role, based in Kitchener, Ontario. Part of Retailogists's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
A Canadian technology company is seeking a Machine Learning Engineer - Co-op to join their engineering team. You will work on Avia, an edge-based retail analytics platform, improving models and deploying software. Ideal candidates are undergraduate students with experience in machine learning and image processing, strong communication skills, and an interest in transitioning to a full-time role. This position can be remote anywhere in Canada or hybrid, requiring authorization for co-op placement.
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Frequently Asked Questions
How do I apply for the ML Engineer: Build Intelligent Models & Systems position at Retailogists?
Use the Apply button above to submit your application directly to Retailogists. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the ML Engineer: Build Intelligent Models & Systems role at Retailogists remote or in-office?
This is a hybrid role based in Kitchener, Ontario. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.
What does a ML Engineer: Build Intelligent Models & Systems at Retailogists earn?
Retailogists has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the ML Engineer: Build Intelligent Models & Systems role at Retailogists posted?
This role was posted on March 29, 2026 (71 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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