AI Computer Vision Engineer

About Us

At the company we are dedicated to creating a more efficient and transparent healthcare supply chain by empowering providers to generate accurate data and insights on their supply usage. We’re building an AI-driven software solution that provides seamless tracking, real-time visibility and actionable insights to healthcare systems, enabling waste reduction and better revenue capture, leading to better value of care and better outcomes for patients.

About the Role

As a Computer Vision/AI Engineer, you will be responsible for designing and developing reliable, maintainable, and scalable CV systems. In this role, you’ll apply computer vision and machine learning to real-world challenges, integrating classical CV techniques and deep learning into production-ready products.

We’re excited by candidates who enjoy and are capable of working in a fast-growing entrepreneurial environment. Your ultimate goal is to ensure we build new functionality in a pragmatic, scalable and manageable way.

Success in this role means delivering end-to-end computer vision solutions that solve meaningful problems at scale. We are looking for an engineer who embraces modern AI tools as a core part of their development workflow. You should be someone who actively uses AI to accelerate software development, improve code quality, troubleshoot problems, automate repetitive work and increase your overall engineering leverage.

We would expect you to be knowledgeable, articulate, sensible, able to coordinate with other peers and senior executives, and collaborate and deliver results in a fast-paced environment where teamwork, professionalism, confidentiality, and communication are essential.

What you will do

• 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

Requirements

• 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

• Health insurance

• Fully remote position with hybrid possibilities

• Business travel when needed

• 3 weeks of vacation

• 10 sick days

• Flexible work hours

Our Values

Transparency & Inclusivity: We act with integrity, creating space for new ideas and sharing information about our progress, challenges, and decision-making processes.

Agility & Flexibility: We iterate with speed, challenging the status quo and seeking continuous improvement to respond to our customer needs and market changes.

Accountability and Collaboration: We foster a culture of responsibility and display curiosity, grit and passion to achieve our objectives, individually and as a team.

Social Responsibility: We prioritize environmental impact by making responsible choices and developing products that make the healthcare industry more sustainable.