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Computer Vision Jobs in Quebec (NOW HIRING)

Deep Learning, Computer Vision, Robotics, AI Infrastructure, Cloud Computing, Distributed Systems; * Connaissance de l'environnement Linux, REST APIs, container infrastructures Docker/Kubernetes ...

Deep Learning, Computer Vision, Robotics, AI Infrastructure, Cloud Computing, Distributed Systems; Connaissance de l'environnement Linux, REST APIs, container infrastructures Docker/Kubernetes/Ranch)

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 ...

Deep Learning, Computer Vision, Robotics, AI Infrastructure, Cloud Computing, Distributed Systems; * Connaissance de l'environnement Linux, REST APIs, container infrastructures Docker/Kubernetes ...

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 ...

Validate Computer Vision & AI model behavior with automated visual test pipelines • Add automated tests to verify model outputs, detection accuracy, edge cases, and regression on datasets. • ...

Chez Vooban, tu touches a plusieurs projets et plusieurs domaines d'affaires en parallele: machine learning, deep learning, RAG, LLM, NLP, computer vision, robotique. Personne ne va te dicter quoi ...

Chez Vooban, tu touches à plusieurs projets et plusieurs domaines d'affaires en parallèle: machine learning, deep learning, RAG, LLM, NLP, computer vision, robotique. Personne ne va te dicter quoi ...

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.

Strong understanding of machine learning, industrial data, time-series analytics, predictive maintenance, optimization, generative AI, or computer vision * Familiarity with industrial environments ...

$220 - $340/hr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile ...

$220 - $340/hr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile ...

Expertise in one or more areas such as computer vision, natural language processing, or artificial intelligence. * Technical skills: Experience delivering to production across multiple platforms ...

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Computer Vision information

See Quebec salary details

$25K

$124.4K

$206.5K

How much do computer vision jobs pay per year?

As of Jul 16, 2026, the average yearly pay for computer vision in Quebec is $124,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms.

What is a Computer Vision job?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What are some typical projects or tasks a Computer Vision professional might work on?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications in areas like autonomous vehicles, healthcare, and security. Demand for skilled professionals with expertise in deep learning, image processing, and relevant tools remains strong, making it a viable career choice.

What engineer makes $500,000 a year?

Senior computer vision engineers working in high-paying industries such as technology, autonomous vehicles, or defense can earn salaries approaching or exceeding $500,000 annually, especially with extensive experience, specialized skills in deep learning and image processing, and often including bonuses or stock options. Such compensation typically requires advanced degrees, strong technical expertise, and leadership responsibilities.

What jobs are there in computer vision?

Jobs in computer vision include roles such as computer vision engineer, research scientist, machine learning engineer, and data scientist. These positions typically require skills in programming, image processing, and deep learning frameworks like TensorFlow or PyTorch, and may involve developing algorithms for object detection, facial recognition, or autonomous systems.

What are the key skills and qualifications needed to thrive in the Computer Vision position, and why are they important?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

What are the most commonly searched types of Computer Vision jobs in Quebec? The most popular types of Computer Vision jobs in Quebec are:
What are popular job titles related to Computer Vision jobs in Quebec? For Computer Vision jobs in Quebec, the most frequently searched job titles are:

Spécialiste en Intelligence Artificielle Senior

Industries Machinex inc.

On-site

Full-time

Re-posted 15 days ago


Job description

Choisir Machinex, c’est faire partie d’une grande famille où tes talents seront mis à contribution et tes idées seront considérées.
PRINCIPAUX RÔLES ET RESPONSABILITÉS

  • Responsable de développer une plateforme existante et de l’enrichir de nouvelles applications, dont la conception et la mise en œuvre d’algorithmes et d’architectures d’intelligence artificielle, de structures de données massives, et de solutions à des problèmes de grande dimension.
  • Développer et optimiser les applications basées sur des réseaux neuroniques
  • Transfert de connaissances aux commis de production d’intelligence artificielle;
  • Effectuer de la veille technologie sur les nouveaux développements et les bonnes pratiques.

EXIGENCES DU POSTE
  • BAC en mathématique, en sciences appliquée ou en informatique;
  • Expérience en programmation et en intelligence artificielle; 
  • Connaissance d’un ou plusieurs champs d’application : Deep Learning, Computer Vision, Robotics, AI Infrastructure, Cloud Computing, Distributed Systems;
  • Connaissance de l’environnement Linux, REST APIs, container infrastructures Docker/Kubernetes/Ranch);
  • Connaissance en développement .NET Core, Python, Shell Scripts (atout);
  • Avoir un bon esprit d’équipe;
  • Être ambitieux, orienté détail, résolution de problèmes et pensée critique;
  • Anglais fonctionnel.