Stage Innovation : Ingénieur Intelligence Artificielle / Computer Vision
Core
Develop an AI prototype to transcribe audio/video content into text and translate it into French Sign Language (LSF) using a 3D avatar, and build a computer vision algorithm for robotic manipulation by recognizing visual affordances.
Role type
Intern Computer Vision and Machine Learning Engineer
Builds
AI prototypes for accessibility (audio/video to LSF translation) and autonomous robotic manipulation systems
Domain
Artificial Intelligence, Computer Vision, Robotics
Deliverable
production ML models
Required skills
Computer Vision, Machine Learning, algorithm design, Python, C++, PyTorch, TensorFlow, OpenCV, object recognition (Yolo, SSD), CNN, semantic segmentation
Preferred skills
Signal/Image processing specialization, experience with 6-axis robots
Technologies
PyTorch, TensorFlow, OpenCV, Yolo, SSD
Responsibilities
Conduct literature review on visual affordance recognition techniques, develop and implement computer vision algorithms for affordance recognition, implement models on a 6-axis robot for object manipulation, integrate models into an AI platform for debate analysis
Seniority
Intern (final year engineering student)