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Computer Vision Engineer Jobs in Quebec (NOW HIRING)

Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines What we're looking for * BS in Computer Science, Engineering, or a related field ...

Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines What we're looking for * BS in Computer Science, Engineering, or a related field ...

As a QA Engineer, you will ensure the quality and reliability new modern software platform (including streaming, 2D and 3D visualization, computer vision, and AI) for a new line of visual inspection ...

At Capgemini Engineering, the world leader in engineering services, we bring together a global team ... vision a la fois globale et detaillee. Long Description Votre role : Definir et documenter les ...

Computer vision et IoT en deuxieme : controle qualite physique, tri visuel automatise * Machine learning generaliste et recherche operationnelle de facon ponctuelle, quand le contexte client le ...

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Computer vision et IoT en deuxième : contrôle qualité physique, tri visuel automatisé * Machine learning généraliste et recherche opérationnelle de façon ponctuelle, quand le contexte client ...

New

Lead and mentor a team of AI/ML developers/engineers, computer vision specialists, and frontend/backend software developers; enforce best practices in MLOps, code quality, and system reliability.

Lead and mentor a team of AI/ML developers/engineers, computer vision specialists, and frontend/backend software developers; enforce best practices in MLOps, code quality, and system reliability.

Full Stack Software Developer (React/Python) - Up to 200k CAD + Bonus - Elite FinTech Firm - Montreal We are looking for top Software Developers in Canada who like working on complex, performant ...

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Computer Vision Engineer information

See Quebec salary details

$81.5K

$130.8K

$197K

How much do computer vision engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for computer vision engineer in Quebec is $130,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $148,500.00 per year, depending on experience, location, and employer.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What job categories do people searching Computer Vision Engineer jobs in Quebec look for? The top searched job categories for Computer Vision Engineer jobs in Quebec are:
Infographic showing various Computer Vision Engineer job openings in Quebec as of May 2026, with employment types broken down into 1% As Needed, 62% Full Time, 35% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $130,783 per year, or $62.9 per hour.

Founding Head of Engineering: AI Computer Vision for Manufacturing

Assembler AI

Montreal, QC • On-site

Full-time

Posted 22 days ago


Job description

The Opportunity
As a member of the leadership team, you will own the engineering vision, architecture and execution for Operator Vision. Your objective is to build a trustworthy and scalable SaaS solution that can scale to thousands of real-time video feeds, run the video through the AI stack as provided by the Head of AI, and provide real-time insights to operators and continuous improvement engineers.

Who You Are
You are a seasoned enterprise B2B engineering leader ready for a new challenge.

  • Strong hands-on engineer that is excited to build a scalable, resilient and secure SaaS solution that leverages novel computer vision technologies.
  • Engineering leader with proven track record building an enterprise SaaS product from pilot to production with 99.99% uptime and mature yet nimble CI/CD process
  • Experience hiring, developing, retaining and leading high-performing engineers
  • Experience building enterprise solutions that are secure, with certifications such as SOC 2 Type 2 and FedRamp.
  • You've built software for the manufacturing sector (nice-to-have)
  • You've had experience with massive ingestion systems such as video or audio (nice-to-have)

What You'll Get

  • A meaningful equity stake in Assembler AI and operational freedom to define and execute your strategic engineering vision.
  • The freedom to build your team, set engineering standards and set the framework for the use of AI for the development process
  • Collaboration with the Head of AI, a leading expert in computer vision for the manufacturing industry, and the Head of Product, who has in-depth experience helping manufacturers achieve their objectives.
  • Report to a CEO that has successfully built three businesses in the AI space and executed two successful exits.
  • A competitive salary & benefits package

About Assembler AI
Assembler AI is a Montreal startup that has built a novel computer vision solution for manufacturers. By deploying cameras within factories, video streams are sent to Assembler AI's cloud platform to identify errors in the production process to prevent scrap and excess GHG emissions and make AI powered recommendations for productivity enhancements. Our solution, Operator Vision, analyzes assembly processes in real-time to ensure procedures meet quality standards, guides operators with instant feedback to boost first-pass yield, and generates 24/7 lean insights to eliminate bottlenecks. Backed by Diagram Ventures, Assembler AI has the capital, network, and strategic support needed to scale into a successful global leader in physical AI.

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L'opportunit
titre de membre de la direction, vous serez responsable de la vision, de l'architecture et de l'excution de l'ingnierie pour Operator Vision. Votre objectif est de btir une solution SaaS fiable et volutive, capable de monter en charge jusqu' des milliers de flux vido en temps rel, de faire passer la vido dans les algorithmes fournie par le responsable de l'IA, et de livrer des analyses en temps rel aux oprateurs et aux ingnieurs en amlioration continue.

Qui vous tes
Vous tes un(e) expert en technologie prt(e) pour un nouveau dfi.

  • Ingnieur hands-on, enthousiaste l'ide de btir une solution SaaS volutive, rsiliente et scurise qui exploite des technologies de vision par ordinateur novatrices.
  • Leader en ingnierie avec un parcours prouv dans le dveloppement d'un produit SaaS entreprise, du pilote la production, avec une disponibilit de 99,99 % et un processus CI/CD mature mais agile.
  • Exprience dans l'embauche, le dveloppement et la rtention d'ingnieurs trs performants.
  • Exprience dans la conception de solutions entreprises scurises, avec des certifications telles que SOC 2 Type 2 et FedRAMP.
  • Vous avez dvelopp des logiciels pour le secteur manufacturier (atout).
  • Vous avez de l'exprience avec des systmes d'ingestion grande chelle, comme la vido ou l'audio (atout).

Ce que vous obtiendrez

  • Une participation significative au capital d'Assembler AI et la libert oprationnelle de dfinir et d'excuter votre vision stratgique en ingnierie.
  • La libert de btir votre quipe, d'tablir les standards d'ingnierie et de dfinir le cadre d'utilisation de l'IA dans le processus de dveloppement.
  • Une collaboration avec le chef de l'IA, un expert de premier plan en vision par ordinateur pour l'industrie manufacturire, et le chef du produit, qui possde une exprience approfondie auprs des manufacturiers pour les aider atteindre leurs objectifs.
  • Rapporter un PDG qui a bti avec succs trois entreprises dans le domaine de l'IA et ralis deux sorties russies.
  • Un salaire et une gamme d'avantages sociaux concurrentiels.

propos d'Assembler AI
Assembler AI est une jeune entreprise montralaise qui a dvelopp une solution novatrice de vision par ordinateur pour les manufacturiers. En dployant des camras dans les usines, les flux vido sont envoys vers la plateforme infonuagique d'Assembler AI pour reprer les erreurs dans le procd de production, prvenir le rebut et les missions excdentaires de GES et formuler des recommandations propulses par l'IA pour amliorer la productivit.

Notre solution, Operator Vision, analyse les procds d'assemblage en temps rel pour garantir que les procdures respectent les normes de qualit, guide les oprateurs avec une rtroaction instantane pour augmenter le rendement au premier passage, et gnre des analyses lean en continu (24/7) pour liminer les goulots d'tranglement. Soutenue par Diagram Ventures, Assembler AI dispose du capital, du rseau et du soutien stratgique ncessaires pour devenir un leader mondial en IA physique.