Optimize machine learning for resource-constrained edge devices at Invision AI, combining Python, computer vision, and production systems expertise. Work hybrid from downtown Toronto three days weekly.
This full time Machine Learning Engineer position focuses on building and maintaining models used in real-world products. You will improve object detection, image classification, geospatial tracking, and sensor fusion capabilities. The work spans training pipelines, deployment, monitoring, model drift, data quality, and ongoing retraining needs.
Key Responsibilities: Optimize model latency, memory usage, power consumption, and accuracy
Recommend and deploy models across product lines
Identify model drift, data problems, and retraining requirements




Prototype capabilities with appropriate technologies
Resolve issues affecting deployed machine learning models
Requirements: Hands-on optimization experience in edge environments
Working knowledge of embedded systems and constraints
Strong Python development and software engineering practices
Knowledge of experiment tracking, dataset versioning, and observability
Understanding of production monitoring and troubleshooting
Bring edge optimization, embedded systems, and computer vision experience to Invision AI’s Toronto engineering team.

#J-18808-Ljbffr

📌 Edge Machine Learning Engineer Toronto (Ontario)
🏢 Invision AI
📍 Ontario