Ship and maintain production computer vision systems for Invision AI’s universal AI platform, using Python, PyTorch, TensorFlow, and scikit-learn. The role is hybrid in Toronto.As a Machine Learning Engineer, you will support the complete machine learning lifecycle from collection and labeling strategy through improvement. Your applied work connects model evaluation with product and business outcomes. You will help strengthen visual intelligence for intelligent infrastructure and globalTransportation through accurate, efficient solutions.Key Responsibilities:
Establish metrics connecting model performance with product outcomesDevelop and maintain production computer vision modelsImprove labeling, training,



and evaluation workflowsAdapt open-source models for specific products and use casesCollaborate with software, product, and engineering teamsRequirements:
Track record shipping production computer vision modelsProficiency with PyTorch, TensorFlow, and scikit-learnKnowledge of CNNs and up-to-date computer vision architecturesSkill designing evaluation metrics for business requirementsStrong written and verbal communication skillsUse production ML engineering, model evaluation, and computer vision skills to advance Invision AI’s visual intelligence products.
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📌 Production Ml Engineer Computer Vision (Winnipeg)
🏢 Invision AI
📍 Winnipeg