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Computer Vision Jobs in Quebec (NOW HIRING)

Norbert Health

Applied AI Engineer

Montreal, QC

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 ...

Vooban

Scientifique en IA (AI Scientist)

Quebec, QC · On-site

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 ...

Vooban

Scientifique en IA (AI Scientist)

Quebec, QC

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 ...

Intact Financial

Data Scientist II

Quebec, QC

Expertise in one or more areas such as computer vision, natural language processing, or artificial intelligence. * Teamwork: Strong enthusiasm for working collaboratively in a team environment.

Intact Financial

Senior Data Scientist

Montreal, QC · On-site

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 ...

Intact Financial

Data Scientist II

Montreal, QC · On-site

Expertise in one or more areas such as computer vision, natural language processing, or artificial intelligence. * Teamwork: Strong enthusiasm for working collaboratively in a team environment.

Flatgigs

Sales Lead

Montreal, QC · On-site

IoT, computer vision or smart infrastructure solution providers * Cloud, digital transformation or enterprise software companies THE PROFILE THAT WILL SUCCEED You are someone who: Has closed deal ...

Flatgigs

Sales Lead

Montreal, QC · On-site

IoT, computer vision or smart infrastructure solution providers * Cloud, digital transformation or enterprise software companies THE PROFILE THAT WILL SUCCEED You are someone who: · Has closed deal ...

BusPas

Product Lead

Montreal, QC · On-site

Experience withAI/ML applications, computer vision, or deployments in public sector/municipal projects. Why Join BusPas? Be part of a mission-driven team thats actively shaping the future of urban ...

Bentley Systems

Senior Applied AI Scientist

Quebec, QC · On-site

By virtue of its unique market positioning, our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal ...

Buspas, Inc.

Product Lead

Montreal, QC · On-site

Experience withAI/ML applications, computer vision, or deployments in public sector/municipal projects. Why Join BusPas? Be part of a mission-driven team that's actively shaping the future of urban ...

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Showing results 21-40

All JobsComputer Vision JobsComputer Vision Jobs in Quebec

Computer Vision information

See Quebec salary details

$25K

$124.4K

$206.5K

How much do computer vision jobs pay per year?

As of Aug 6, 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 computer vision?

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 does a computer vision professional do?

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.

What are the key skills and qualifications needed to thrive in computer vision?

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:
What job categories do people searching Computer Vision jobs in Quebec look for? The top searched job categories for Computer Vision jobs in Quebec are:
Computer Vision jobs near you
Infographic showing various Computer Vision job openings in Quebec as of August 2026, with employment types broken down into 100% Full Time. Highlights an 48% In-person, and 52% Remote job distribution, with an average salary of $124,382 per year, or $59.8 per hour.

Applied AI Engineer

Norbert Health

Montreal, QC

Full-time

Medical, Vision

Re-posted 10 days ago

Job description

The company

Norbert is building autonomous robots that deliver healthcare.

Our AI sensing platform enables existing robotic platforms to become care team members: rounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.

We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.

We're a small, international team backed by top-tier VCs, with offices in Brooklyn, Paris, and Montreal. We ship things that matter.

The position

We're looking for an Applied AI Engineer to take our growing collection of foundation models and ML components from manually run, sometimes locally trained workflows to fully automated, production-grade MLOps pipelines: deployed reliably on robots in nursing facilities. We need someone who knows the model landscape cold, treats evaluation as a first-class engineering problem, and has strong opinions about when to prompt, RAG, fine-tune, swap, or buy.

You'll work across cloud and edge deployments, and some of the systems you'll touch are on a SaMD pathway, so you'll need to be comfortable shipping under regulatory constraints.

What you'll do
  • Integrate foundation models and ML components (VLMs, LLMs, ASR/TTS, detection/segmentation, embeddings) into our production pipelines, using both open-weight models and third-party APIs
  • Build RAG and agent-style orchestration for clinical reporting and conversational interfaces
  • Ship real-time streaming pipelines (voice agents) alongside batch and request-response workloads
  • Build evaluation harnesses that catch regressions across model swaps and measure performance against clinical-grade accuracy targets
  • Fine-tune and retrain models (LoRA, PEFT, supervised fine-tuning) using data collected from our deployed fleet
  • Deploy across our inference surfaces: third-party APIs, self-hosted, and on-robot edge
  • Build the data flywheel: pipelines that collect, label, version, and feed production data back into model improvement
  • 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, or equivalent hands-on experience
  • 4+ years shipping ML/AI systems in production outside of academic settings
  • Strong working knowledge of the modern foundation model landscape (open-weight LLMs and VLMs, common detection/segmentation backbones, embedding models)
  • Hands-on experience with PEFT/LoRA and supervised fine-tuning
  • Strong Python; comfortable with the deployment toolchain (ONNX, quantization, at least one inference runtime-TensorRT, vLLM, llama.cpp, etc.)
  • Experience with a cloud ML training/MLOps platform (GCP Vertex AI, AWS SageMaker, Azure ML, or equivalent)
  • Ability to work independently, solve complex problems, and drive projects to completion
Bonus points
  • Edge ML deployment (Jetson, ARM, mobile NPUs)
  • Real-time voice AI pipelines (STT, TTS, streaming LLM)
  • Production RAG systems beyond toy implementations
  • Medical devices, SaMD, or other regulated ML environments
  • MLOps tooling (Weights & Biases, MLflow, DVC, etc.)
  • Active learning or human-in-the-loop labeling workflows
  • C++ for integrating with our computer vision pipeline
What we offer
  • Real impact: your code provides care for patients today
  • High autonomy and technical ownership-you'll define how we operate AI in production
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Equity participation in the company's future
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Transparent, mission-driven culture focused on continuous learning
  • Competitive salary and equity
Employment Type: FULL_TIME

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