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Computer Vision Engineer Jobs in Quebec (NOW HIRING)

$220 - $340/hr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... Partner closely with IT, Engineering, Product, and Platform teams to embed secure development ...

$220 - $340/hr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... Partner closely with IT, Engineering, Product, and Platform teams to embed secure development ...

$220 - $340/hr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... Partner closely with IT, Engineering, Product, and Platform teams to embed secure development ...

Electrical Automation Engineer Build a career that matters with one of the world's most respected ... computer system databases; * vision system configuration and interface for width measurement ...

MathCAD * Fundamental understanding of CAD concepts * Fundamental knowledge of power system ... These benefits include the following: • Medical, Prescription, Dental and Vision effective date ...

MathCAD * Fundamental understanding of CAD concepts * Fundamental knowledge of power system ... These benefits include the following: • Medical, Prescription, Dental and Vision effective date ...

Join our fantastic team and be part of realizing our vision for the future of rail transport in ... Proficiency in AutoCAD computer-aided design software; Strong command of the Microsoft Office suite;

$126.40 - $158/hr

Bachelor's Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics ... Bonuses and a competitive benefits package--including medical, dental, vision, life and disability ...

Senior Software Engineer

Quebec, QC · On-site

CA$115K - CA$125K/yr

GitHub Copilot, Claude, Cursor or ChatGPT) Familiarity with AI directed prompt engineering for ... Salary range: $115,000 - $125,000 CAD per year.

Bachelor's or Master's in Electrical/Computer Engineering, Mechanical Engineering, or related field ... Industry leading medical, dental, and vision Insurance * Access to a telemedicine service * RRSP ...

$150 - $185/hr

Strong computer science and engineering fundamentals. A solid command of algorithms, data ... Comprehensive health, dental, and vision coverage. * 20 days of paid time off per calendar year ...

$126.40 - $158/hr

Bachelor's Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field. Compensation Base pay ranges from CAD $126,400.00 / year to $158 ...

$109 - $174/hr

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science * Experience ... and vision plans, participation in 401(K) (USA) & DCPP (Canada) with company matching, Employee ...

University degree in Software Engineering, Computer Engineering, Computer Science, or equivalent experience; * 10 to 15 years of professional software engineering experience in aviation, defence, or ...

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Computer Vision Engineer information

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

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 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 engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

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 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.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution.

Principal Machine Learning Engineer, General AI, ML & Big Data

C-Serv

Montreal, QC

Other

Medical, Dental, Vision, Life, PTO

Re-posted 23 days ago


Job description

About Opportunity

We are working with a global networking leader driving a fundamental shift in how businesses manage networks. There AI Core group pioneers' platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning - powering flagship products and enabling entirely new offerings. Innovation isn't just encouraged it's expected.

The Role

As one of our Principal ML Engineer's, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

What You'll Do

  • Define and drive the technical vision for ML solutions across products and platforms
  • Own the end-to-end software development lifecycle - from design and code reviews through to deployment and operations
  • Architect high-performance, scalable microservices, including synchronous and asynchronous web services
  • Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing
  • Mentor engineers, set technical direction, and foster a strong team culture
  • Champion engineering excellence, system resilience, and continuous operational improvement

Requirements

Required Qualifications

  • Degree in Computer Science, Mathematics, or a related field
  • 5-10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations)
  • 5-10 years of Python expertise, including advanced features and libraries
  • Strong experience designing RESTful APIs (e.g., FastAPI)
  • Proficiency with Docker, Kubernetes, and CI/CD pipelines
  • 3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP)
  • Proven experience as a tech lead or engineering mentor

Preferred Qualifications

  • MS or PhD in Computer Science or ML
  • Hands-on experience with ML frameworks: PyTorch, SageMaker, Triton, or TensorRT
  • Familiarity with NoSQL and document databases
  • Track record of handling big data, optimising workflows, and improving system performance

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Training & Development