Machine Learning Engineer (m/f/x)

Machine Learning Engineer

Description:

SolarCleano is a Luxembourg-based robotics company aiming at providing innovative robotic solutions to the solar panel cleaning industry. You will be part of a young and dynamic R&D team operating on a complete autonomous stack. As a machine learning engineer, you will face the challenge to design, develop, deploy and support innovative AI perception and machine learning algorithms that will help the robot to navigate and to detect and classify photovoltaic panel defaults.

Your main responsibilities:

• Lead and contribute to ML projects from ideation to robot deployment
• Guide data collection process/storage/labeling
• Train/tune/evaluate/benchmark models
• Deploy models on operating robot and test them in field

Requirements:

• Master or PhD in Computer science/Machine Learning
• 3 or + years of professional experience using machine learning
• Image processing filtering (line/plane/rectangle detection, etc.)
• Python and standard ML lib (TensorFlow, Pytorch, Scikit_learn, etc.)
• Model inference optimization: pruning/compression, TensorRT
• Cpp

Nice to have:

• Point cloud algorithms knowledge (plane/border detection, etc.)
• Robotic global knowledge
• ROS, Docker