Stage Innovation : Ingénieur Intelligence Artificielle / Computer Vision
Core
Research and development of AI and computer vision solutions for industrial quality control, sports science (cyclist posture analysis), and operator safety monitoring.
Role type
Research Engineer (Computer Vision / Machine Learning)
Builds
Industrial camera-based inspection systems, 3D motion analysis models, and operator safety monitoring tools.
Domain
Industrial automation / Sports science / Computer Vision
Deliverable
production ML models | product features
Required skills
Deep learning (CNN, RNN, Transformers), Computer Vision (OpenCV, object detection), Python, C++, PyTorch, TensorFlow, 3D modeling (Blender), Signal processing (FFT, STFT), Reinforcement learning
Preferred skills
Cyclism domain knowledge, 3D rotation concepts, Physics and mathematics
Technologies
PyTorch, TensorFlow, OpenCV, Yolo, SSD, Blender
Responsibilities
Develop and adapt existing AI architectures for image processing tasks, integrate camera systems into industrial models, conduct literature reviews and scientific reporting, manage multidisciplinary project teams using Agile/Test & Learn approaches, analyze 3D sensor data from drones for posture characterization.
Seniority
Intern (Final year engineering student)
