Computer Vision Engineer

About this role

About the role: - Engineer computer vision systems that monitor production lines at an edible oil, soap, and soya meal manufacturing facility - Design and build counting and verification pipelines that track goods as they move through the factory - Integrate industrial camera feeds with edge AI servers to process vision data at the point of capture - Create algorithms that match physical dispatch against ERP system orders at exit gates and loading dock areas - Develop safety alert mechanisms that flag irregularities in the production and dispatch workflow - Build the central verification service that coordinates vision data from multiple camera feeds across the facility - Contribute to the web dashboard that displays real-time production and dispatch information - Help develop mobile app features for on-site monitoring and alerts Working conditions: - You will solve computer vision problems in a live manufacturing environment, not controlled lab settings - Carton condition varies widely, from pristine to heavily worn and damaged - Products within the same category look similar, making differentiation challenging - Pallets arrive wrapped and stacked at high speed on conveyors - Lighting is often poor and inconsistent across different areas of the facility - Network connectivity is unreliable, requiring robust edge processing and offline-first design What you'll need: - Strong foundation in computer vision, machine learning, and image processing - Experience deploying models to edge devices and embedded systems - Ability to handle real-world data messiness and edge cases - Problem-solving mindset for challenging environmental constraints Note: Use the role name in the email subject. Send resume and links to relevant projects, GitHub, or published apps.