Stage Innovation : Ingénieur Intelligence Artificielle / NLP
Core
Develop AI methods to automatically characterize complex textual content, including linguistic, semantic, and structural indicators for cognitive accessibility evaluation and scientific corpus analysis.
Role type
Intern NLP/AI Engineer (Research)
Builds
Production-ready NLP models and analytical indicators for client projects
Domain
Artificial Intelligence / Natural Language Processing / Cognitive Accessibility / Scientific Literature
Deliverable
production ML models
Required skills
Python, Natural Language Processing (NLP), Machine Learning, Large Language Models (LLM), Embeddings, Text Data Analysis, Semantic Search, Statistical Analysis, Data Visualization
Preferred skills
Classification, Clustering, Topic Modeling, Sentiment Analysis, Biomedical Domain Knowledge (PubMed, MeSH), Software Development Best Practices (Git, Testing, Documentation)
Responsibilities
Construct linguistic and semantic indicators for text evaluation, analyze scientific corpora to identify relevant publications and trends, visualize knowledge evolution over time, develop and evaluate machine learning models
Seniority
Intern (Master 2 or final year engineering school)