Stage de fin d’étude – Ingénieur(e) IA/ML – Prototypage d’un modèle de reconnaissance vocale des communications radio (Aéronautique)
Core
Develop a voice recognition model specifically for air traffic control radio communications to enhance air traffic control systems.
Role type
Junior IC machine-learning engineer (speech recognition)
Builds
Production-ready voice recognition prototypes for air traffic control
Domain
Aviation + Speech Recognition
Deliverable
production ML models
Required skills
ASR, NLU, NLP, Fine-tuning, Python, PyTorch, Hugging Face Transformers, Data preparation, Model evaluation
Preferred skills
Generative AI, RAG architecture, CI/CD, Docker, Linux
Technologies
Whisper, wav2vec 2.0, spaCy, Git, Docker, Linux, Windows, GPU
Responsibilities
Conduct literature review on ASR/NLU for aviation, prepare audio datasets, fine-tune ASR models, evaluate performance metrics, explore business use cases, write industrialization report
Seniority
Junior, Master's level student
