AI Computer Vision Engineer

AssistIQ

. Collaborate with product managers to translate real-world challenges into practical CV/ML solutions that create a measurable impact .

Posted 9/23/2026full-timeRemote • Canada, United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing computer vision and vision-language models using Python or C++, with a strong foundation in classical techniques and deep learning. Proficient in deploying production systems and applying ML Ops practices for monitoring and maintaining AI solutions.

Highest-signal resume keywords

Computer Vision DevelopmentPython ProgrammingModel OptimizationML Ops PracticesPyTorch Framework

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computer VisionMachine LearningDeep LearningModel DeploymentReal-Time InferenceEvaluation FrameworksClassical CV TechniquesVision-Language ModelsData DebuggingModel Refinement

Soft Skills

Communication SkillsCollaboration

Tools & Technologies

Cloud EnvironmentsEdge EnvironmentsMonitoring ToolsLogging Tools

Industry Keywords

Life ScienceHealthcareTechnology

Tech Stack

Tools & technologies

CloudPythonPyTorchC++

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

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