AI Computer Vision Engineer

Summary

AssistIQ is building an AI-driven software solution to improve visibility, efficiency, and transparency in the healthcare supply chain. The AI Computer Vision Engineer will design, develop, deploy, and maintain scalable computer vision and vision-language systems that solve real-world problems and deliver measurable impact in production environments.

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

Skills

• 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
• Excellent oral and written communication skills in English
• You are legally entitled to work in Canada without sponsorship
• Experience in the life science, healthcare or technology industry an asset
• French oral and written communication skill is an asset

Qualifications

Must Haves

• 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
• Excellent oral and written communication skills in English
• You are legally entitled to work in Canada without sponsorship

Nice to Haves

• Experience in the life science, healthcare or technology industry an asset
• French oral and written communication skill is an asset

Benefits

• Health insurance
• Fully remote position with hybrid possibilities
• Business travel when needed
• 3 weeks of vacation
• 10 sick days
• Flexible work hours