Machine Learning Engineer (mfd)

We are where the future begins GCS creates safe living spaces worldwide. We eliminate explosive threats and enable the reconstruction of war-affected regions. Combining innovative technologies with operational experience we ensure efficient and sustainable clearance of landmines and other ammunition. As an owner-managed company headquartered in Switzerland with a production site in Germany and regional subsidiaries we are among the leading providers worldwide.

At our location in Stockach the gateway to Lake Constance we are looking for you to join our team as soon as possible or by arrangement.

As a Machine Learning Engineer you will develop intelligent algorithms for advanced multi-sensor detection systems. Working at the intersection of machine learning embedded software and sensor technology you will help transform complex sensor data into reliable real-time detection capabilities.

• Develop and optimize AI-based object detection and sensor fusion algorithms
• Analyze complex sensor data and improve machine learning models
• Integrate and optimize software for embedded real-time systems
• Plan coordinate and support field tests and system validation activities
• Contribute to the development of secure and reliable software solutions
• Improve processes for AI training data generation and model evaluation
• Collaborate closely with software systems and test engineering teams
• Explore and apply state-of-the-art machine learning and data analysis methods

• Degree in Computer Science Electrical Engineering Data Science or a related field
• Experience in machine learning data analysis or AI-based software development
• Strong programming skills in Python and C/C
• Experience with embedded software and Linux-based operating systems
• Knowledge of sensor technologies or multi-sensor systems is an advantage
• Familiarity with modern development tools (e.g. GitLab Jira Confluence)
• Structured proactive and solution-oriented working style
• Willingness to travel for field testing and international collaboration
• Fluent written and spoken German and English