Stage Innovation : Ingénieur Intelligence Artificielle / Computer Vision
Core
Develop AI prototypes for multi-sectorial research projects including debate analysis, industrial object affordance recognition, environmental waste detection via drones, and operator behavior analysis.
Role type
Final-year engineering student (intern) in Computer Vision / Machine Learning
Builds
AI prototypes and research deliverables for client-facing solutions
Domain
Artificial Intelligence, Computer Vision, Robotics, Environmental Tech
Deliverable
production ML models | research
Required skills
Computer Vision, Machine Learning, algorithm design, Python, C++, PyTorch, TensorFlow, OpenCV, object recognition (Yolo, SSD), signal/image processing
Preferred skills
Reinforcement learning, federated learning, multi-objective optimization, Transformer/RNN/CNN architectures
Technologies
PyTorch, TensorFlow, OpenCV, Yolo, SSD, Stereo/Monocular cameras
Responsibilities
Develop ML models for image segmentation and affordance detection; conduct literature reviews on state-of-the-art detection methods; design and optimize AI systems for drone-based waste detection; integrate AI results into industrial platforms; manage project milestones using Agile/Test & Learn approaches.
Seniority
Intern (Final-year engineering student)
