AI Vision Programmer

At True Light, we develop advanced AI-powered vision systems that solve complex inspection and automation challenges in manufacturing environments. Our work sits at the intersection of machine learning, computer vision, synthetic data, and industrial automation. We build intelligent inspection and guidance systems that operate in real‑world production settings.

We are looking for an AI Vision Developer who is excited to build and deploy cutting‑edge AI models that power real industrial systems.

Job Type:  Full‑Time

Location:

London, ON

Wage : $34/hr. – $41/hr.

About the Role
As an AI Vision Developer at True Light, you will design and deploy advanced computer vision models that power real‑world industrial inspection and automation systems. This role sits at the intersection of deep learning, synthetic data generation, and production automation. You will develop and optimize models for tasks such as defect detection, segmentation, and classification; while ensuring they meet the accuracy, speed, and reliability standards required in manufacturing environments.

You will work closely with cross‑functional teams to integrate AI models into robotic cells, inspection systems, and automation platforms. A key part of your work will involve leveraging synthetic data pipelines and 3D simulation tools to overcome data scarcity and accelerate model development. From lab‑based experimentation through production deployment, your contributions will directly impact how intelligent vision systems perform in demanding industrial settings.

RESPONSIBILITIES

AI Model Development:  Design, develop, and train deep learning models for computer vision tasks such as defect detection, classification, and image segmentation, using frameworks such as PyTorch or Tensor Flow. Continuously iterate on models to improve accuracy and robustness.

Model Validation and Optimization:  Evaluate model performance on real and synthetic datasets, and refine models to meet accuracy, speed, and reliability requirements. Analyze results with a focus on generalization for re‑use and robustness. Implement improvements through experiments and tuning.

Integration into Production Systems:  Work closely with the team to deploy trained models into production inspection systems, robotic cells, or other automation equipment. Help True Light ensure vision algorithms seamlessly integrate with hardware and automation workflows, enabling real‑time inspection and guidance solutions, including 3D imaging and weld inspection applications.

Synthetic Data Pipeline Development:  Develop and refine pipelines for synthetic image generation and data augmentation to expand training datasets and useability on projects. Develop and automate labeling pipelines to accelerate dataset annotation and reduce manual effort in training cycles. Leverage tools or partners to create realistic training images to help address data scarcity challenges and improve model generalization for re‑use and robustness.

R&D and Lab Experimentation:  Conduct lab‑based experiments and proof‑of‑concepts to evaluate new computer vision techniques, including leveraging digital twins or simulation environments. Lead or collaborate with the team to run controlled experiments (e.g. feasibility studies, comparing synthetic vs. real images) and report findings that guide True Light’s approach to AI vision system development.

Tech Stack Optimization:  Help optimize our AI/ML/vision tech stack and workflows. This includes optimizing data storage, computing, and training workflows for efficiency and scalability. Research and propose new AI tools, frameworks, or hardware that can enhance development productivity, model performance, and integration efficiency. Assist in maintaining efficient data pipelines, training infrastructure, and model deployment processes.

Documentation and

Collaboration:

Document and store key learnings, model designs, experiment results, and best practices and contribute to team knowledge‑sharing. Prepare technical reports or presentations on findings. Communicate effectively with cross‑functional teams to ensure AI vision solutions meet overall system requirements to achieve key…