CONTEXT: 

Professionals in the medical and pharmaceutical industries must navigate vast and complex regulatory corpora (EU directives, ISO standards, FDA guidelines, etc.). Searching for precise information in these documents is time-consuming and inefficient.The goal of this internship is to design and develop an intelligent conversational system to facilitate regulatory information retrieval.

Main objectives
Develop a chatbot system capable of:

1. Indexing and structuring a database of regulatory texts.
2. Understanding users’ natural language queries.
3. Extracting and summarizing relevant information.
4. Providing contextual answers with precise references to sources.

DEVELOPED SKILLS

• Advanced NLP: embeddings, semantic search, LLMs
• Data architecture: vector databases, indexing
• Full-stack development: REST API, user interface
• AI evaluation: relevance metrics, benchmarking

• Desired profile

  • Level: Master’s Degree (final year) / Engineering school
  • Strong skills in Python and software development
  • Knowledge in machine learning and NLP
  • Interest and experience in conversational AI
  • Prior experience with chatbot projects
  • Rigor, autonomy, and proactive attitude

  Duration: 4–6 months
  Technologies: Python, NLP, RAG, Vector Databases, LLM