Stage Innovation : Ingénieur Intelligence Artificielle / Computer Vision
Core
Research and development of AI and Computer Vision solutions for industrial applications, including sports science, quality control, and operator analysis.
Role type
Junior IC machine-learning engineer (computer vision)
Builds
Production ML models and image processing applications for industrial clients
Domain
Industrial automation, sports science, quality control
Deliverable
production ML models
Required skills
Computer Vision, Machine Learning, Neural Networks (CNN, RNN, Transformers), Reinforcement Learning, Python, C++, PyTorch, TensorFlow, OpenCV, Object Detection (Yolo, SSD), Signal Processing, 3D Rotation concepts
Preferred skills
Cyclism knowledge, Biomechanics, Physics, Mathematics
Responsibilities
Characterize cyclist positions using inertial sensors and Computer Vision, Develop AI for image processing and quality control, Create and adapt existing neural network architectures, Integrate detection systems into model factories, Conduct literature reviews and scientific reporting, Manage multidisciplinary project teams
Seniority
Junior, hands-on IC
