AI Computer Vision Engineer
AssistIQ
full-time
Posted on:
Location Type: Hybrid
Location: Toronto • 🇨🇦 Canada
Visit company websiteJob Level
SeniorLead
Tech Stack
CloudPythonPyTorch
About the role
- 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
Requirements
- 5+ 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
Benefits
- Health insurance
- Fully remote position with hybrid possibilities
- Business travel when needed
- 3 weeks of vacation
- 10 sick days
- Flexible work hours
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
computer visionmachine learningPythonC++real-time inferencemodel optimizationPyTorchevaluation frameworksML Opsdeep learning
Soft skills
communication skillscollaborationproblem-solving