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AssistIQ

AI-powered hospital supply tracking platform

AI Computer Vision Engineer

Computer VisionConfirmed live in the last 24 hours
Full-timeRemote in CanadaNo salary listed

About the Job

Requirements

  • At least 3 years of software development experience.
  • At least 3 years of experience building computer vision systems using Python or C++, including real-time inference, deployment pipelines, and model optimization.
  • A strong foundation in classical computer vision and deep learning approaches.
  • Proficiency with frameworks such as PyTorch.
  • Experience designing and running evaluation frameworks for vision and multimodal models.
  • Experience deploying production computer vision and machine learning systems.
  • Experience with machine learning operations practices for monitoring, logging, and maintaining deployed artificial intelligence systems.
  • Excellent oral and written communication skills in English.
  • Legal entitlement to work in Canada without sponsorship.

Responsibilities

  • Collaborate with product managers to translate real-world challenges into practical computer vision and machine learning solutions with measurable impact.
  • Design and develop computer vision and vision-language solutions using classical techniques and modern artificial intelligence approaches.
  • Optimize, deploy, and support models across cloud and edge environments, ensuring efficiency and robustness.
  • Establish evaluation frameworks for computer vision and vision-language 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 computer vision research and apply new techniques to improve vision products.

Desired Qualifications

  • Experience in the life science, healthcare, or technology industry.
  • French oral and written communication skills.

About the Company

AssistIQ

AI-powered hospital supply tracking platform

AssistIQ offers a SaaS platform for hospital supply chain management focused on surgical and procedural supplies. Its AI-powered system, AIQ Capture, uses a tablet camera with computer vision to identify supplies at the point of use, replacing barcode scans and paper logs. It leverages the AIQ Supply Cloud database of over four million products and integrates with EHRs and ERPs to provide real-time visibility and improve charge capture, while reducing waste and documentation time. The goal is to help hospitals lower variable supply costs and boost perioperative efficiency across North America, differentiating itself with a clinician-led origin, a high recognition rate, and deep product data plus integrations.

Company size
51-200
Company stage
Series A
Total funding
$13.3M
Headquarters
Montreal, Canada
Founded
2021

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