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 PyTorch, TensorFlow, 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 (Winnipeg)
🏢 Invision AI
📍 Winnipeg