Position: AI/ML Engineer

Location: 100% remote

We are seeking an experienced AI/ML Engineer based in Ontario to design, train, and deploy the computer vision models that power our core platform. You will work across the full model lifecycle-from building training pipelines and refining model performance to deploying scalable inference services directly into production.

This role is ideal for a hands-on engineer who thrives on real ownership, cares about practical real-world impact, and enjoys converting complex, raw visual data into production-ready intelligence relied upon by construction professionals daily.

Key Responsibilities: Build High-Performance Vision Models

- Develop and train segmentation, detection, and classification models using PyTorch.
- Create and optimize data pipelines for annotation, preprocessing, data augmentation, and systematic experimentation.
- Improve model accuracy, precision, and robustness through advanced optimization techniques.

Deploy & Maintain Production ML Systems

- Architect real-time and batch inference pipelines in Python.
- Deploy models to production environments using Docker, AWS infrastructure, and model-serving frameworks.
- Implement diagnostics, performance metrics, and visualization tools to monitor system reliability.

Advanced Computer Vision Capabilities

- Combine classical image processing (OpenCV) with deep learning for robust performance.
- Build custom evaluation tooling, visual debuggers, and interpretable model diagnostics.
- Apply techniques in OCR, 3D transformations, and geometric reasoning to solve spatial and technical challenges.

Cross-Functional Collaboration

- Work closely with backend engineers to integrate inference endpoints into the platform.




- Partner with product managers to translate complex customer workflows into technical AI solutions.
- Contribute directly to system architecture, technical planning, and continuous platform improvements.

Core Qualifications:

- Education: Master's or PhD in Computer Vision, Computer Science, Machine Learning, or a related quantitative field.
- Experience: 4+ years of applied experience building, training, and evaluating CV models in production environments.

Technical Mastery:

- Deep Learning Frameworks: Strong expertise in PyTorch (CNNs, object detection, semantic/instance segmentation).
- CV Foundations: Proficiency with OpenCV, classical image processing, augmentation pipelines, and visual diagnostics.
- Mathematics: Grounding in linear algebra, probability, optimization, and 3D geometric transformations.
- Production ML: Proven track record deploying CV models into cloud environments using Python, Docker, and AWS services.

Core Values:

- Focus on What Matters: Prioritize high-impact actions aligned with overall vision and key metrics.
- Own the Outcomes: Take single-threaded responsibility to drive real outcomes and deliver quality.
- Be Bold, Iterate Fast: Take calculated risks, test rapidly, and continuously learn.
- Earn Trust, Empower Others: Raise the team's standard through honesty, collaboration, and high quality.

Please send your resume in Word format to Maria Essaouari at [email protected]. REFER A RECENT HIRE AND EARN A CASH BONUS! For details, click here. All applications are reviewed by our recruitment team, and hiring decisions are made by people. We may also use AI-enabled tools to support parts of the application review process.

📌 AI/ML Engineer (Canada)
🏢 Quantum Technology Recruiting Inc. (QTR)
📍 Canada