Mid-Level ML Engineer (Computer Vision Systems)
Insight Global • North York, ON • Posted June 01, 2026
About the Role
Job Description
We are seeking a seasoned Machine Learning Engineer – Computer Vision to design, optimize, and deploy deep learning models for large scale, real time edge inference. In this role, you will work on the end to end lifecycle of computer vision models—from training and evaluation to optimization, automated governance, and edge deployment—while advancing MLOps capabilities on Google Cloud. You will work at the intersection of deep learning, cloud infrastructure, and edge AI, building reliable, high performance solutions that scale across devices and continuously improve through automation and data driven evaluation.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex...
We are seeking a seasoned Machine Learning Engineer – Computer Vision to design, optimize, and deploy deep learning models for large scale, real time edge inference. In this role, you will work on the end to end lifecycle of computer vision models—from training and evaluation to optimization, automated governance, and edge deployment—while advancing MLOps capabilities on Google Cloud. You will work at the intersection of deep learning, cloud infrastructure, and edge AI, building reliable, high performance solutions that scale across devices and continuously improve through automation and data driven evaluation.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex...