Machine Vision Engineer
We are collaborating with an innovative and growing SME specializing in advanced industrial automation and intelligent machine solutions. By combining cutting-edge AI and computer vision technologies with hands-on engineering expertise, we develop high-performance systems that continuously evolve to stay ahead in the market.
As a Machine Vision Engineer, you are responsible for developing, implementing, and optimizing advanced computer vision and AI solutions within industrial production environments. You ensure machines not only capture visual data but also interpret it intelligently, improving accuracy, speed, and reliability across systems.
Key Responsibilities
* Design and implement AI-driven algorithms for image recognition, object detection, and quality control
* Develop and train deep learning models (e.g., CNNs, YOLO, Vision Transformers) for applications such as defect detection and pattern recognition
* Test and validate vision systems in real-world production environments
* Integrate and optimize vision systems within production lines, considering hardware and performance constraints
Requirements
* Master’s degree in Computer Science, Artificial Intelligence, or related field (or equivalent experience)
* Maximum 5 years of experience in machine vision, AI/ML, or image processing, preferably in an industrial setting
* Strong programming skills in C++ and experience with Python
* Hands-on experience with frameworks such as OpenCV, TensorFlow, PyTorch, or HALCON
* Knowledge of hardware-performance optimization, cameras, sensors, or robotics is a bonus
Additional Information
* Full-time position (40 hours/week) with flexible daytime schedule
* Growing SME with room for initiative and career development
* Informal, family-oriented company culture
* Competitive salary package including company car, phone with subscription, meal & eco vouchers, net allowance, group & hospitalization insurance, ambulatory care insurance, 13th month, performance bonus (CAO 90), and 12 additional leave days
* International travel opportunities