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# AI & Computer Vision Engineer (Python and C++)

- **Company:** Cohesian
- **Location:** Leuven, Belgium
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Python (Programming Language), Machine Learning, Signal Processing, Software Engineering, Information Technology, Lidar
- **Published:** August 8, 2026
- **Apply:** https://www.jobinhoreca.com/job/viewjob/3075642/ai-computer-vision-engineer-python-and-c.html

## About the Role

Are you passionate about AI, Computer Vision and developing next-gen software that has a real-world impact?, * A Master's degree in Computer Science, Software Engineering, Mathematics or another relevant technical field.

 * Strong interest in AI, Computer Vision, Image Processing and Machine Learning.
 * Strong knowledge in Python.
 * Solid C++ skills.
 * A solid mathematical foundation, especially in linear algebra and geometry.
 * Experience with Computer Vision, 3D technologies or signal processing is a strong asset.
 * Good communication skills and the ability to work independently and in team.
 * Excellent English communication skills.

## Description

You will become part of the R&D team developing AI and vision-based applications for innovative LiDAR-sensors. You will work on challenging technologies used in industrial automation, Autonomous Driving (AD), road scanning and many other high-tech applications.

If you enjoy solving complex mathematical and technical challenges while changing the world, this could be the opportunity you're looking for!

These are your main responsibilities:

 * Design and develop AI, Computer Vision and 3D-algorithms.
 * Research new algorithms and improve existing solutions to increase performance and reliability.
 * Translate research concepts into robust, production-ready software.
 * Develop software in Python and C++ for advanced image processing, signal processing and machine learning applications.
 * Validate and verify software implementations through testing and continuous improvements.
 * Collaborate closely with software, hardware and R&D engineers to develop innovative sensing solutions.


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