Build computer vision models for visual intelligence at Invision AI in Toronto, using Python and modern machine learning frameworks. This full-time hybrid position works from the downtown office three days weekly.
As a Machine Learning Engineer, you will work across data collection, labeling, training, evaluation, deployment, monitoring, and improvement. The applied engineering focus includes object detection, image classification, geospatial tracking, and sensor fusion. Production models serve real-world products on resource-constrained edge devices.
Key Responsibilities: Develop, evaluate, and deploy machine learning models across products
Build data-labeling, training, and evaluation pipelines
Optimize models for latency, memory, power, and accuracy




Monitor production performance and diagnose deployed model issues
Document code and participate in technical reviews
Requirements: Production computer vision model development and deployment experience
Solid Python skills with Py Torch, Tensor Flow, or scikit-learn
Practical knowledge of CNNs and modern vision architectures
Experience with edge optimization, monitoring, and evaluation metrics
Legal entitlement to work in Canada
Apply computer vision, Python, and production machine learning expertise to Invision AI products in Toronto.

📌 Computer vision machine learning engineer (Toronto)
🏢 Invision AI
📍 Toronto