About the role

Computer Vision/AI Engineer building production-ready CV and vision-language systems. Improving healthcare supply-chain visibility, waste reduction, and revenue capture through AI.

Responsibilities

Collaborate with product managers to translate real-world challenges into practical CV/ML solutions that create a measurable impact
Design and develop computer vision and vision-language solutions using both classical techniques and modern AI approaches
Optimize, deploy, and support models across cloud and edge environments, ensuring efficiency and robustness
Establish evaluation frameworks for CV and VLM models, including real-world performance metrics
Monitor deployed systems, debug issues, and refine models with new data or improved architectures
Stay up to date with emerging research in computer vision; apply new techniques to improve vision products

3+ years’ experience in software development
3+ years’ experience building CV systems using Python or C++, including real-time inference, deployment pipelines, and model optimization
Strong foundation in both classical CV and deep learning approaches
Proficient in frameworks such as PyTorch
Experience in designing and running evaluation frameworks for vision and multimodal models
Experience deploying production CV/ML systems
Experience with ML Ops practices for monitoring, logging, and maintaining deployed AI systems
Experience in the life science, healthcare or technology industry an asset
Excellent oral and written communication skills in English
French oral and written communication skill is an asset
You are legally entitled to work in Canada without sponsorship