AI Surveys Analysis Intern

il y a 1 mois


Paris, Île-de-France saint_gobain_group Temps plein

Context

Generative AI has opened a wide range of opportunities to extract business value from high-volume open-text datasets.

In Saint-Gobain, large internal and external surveys (> 10,000 respondents) only analyze a limited number of open-text verbatims today due to the need for human reading.

An internal initiative has been developed to build an AI tool to analyze these surveys at scale.

Internship Description

The objective of this internship is to develop technological bricks to meet Saint-Gobain Business Units' needs.

Examples of topics of interest that could be addressed during the internship include:

  • Thematic classification of multilingual verbatims using ADA embedding and Chat-GPT
  • Detection of intentions (e.g. suggestions, claims) in verbatims using a combination of simple rule-based techniques and advanced generative AI techniques (e.g. Retrieval-Augmented Generation)
  • Design overviews visualizations on verbatims metrics for executive summaries
  • Detection of named entities using Generative AI
  • Build customized distances between verbatims and Chat-GPT generated summaries
  • Benchmark most recent GenAI algorithms (Open AI, Mistral, ...) to find which model suits best the tasks of interest
  • Customization of ADA embedding to answer business specific questions
  • Scaling on different types of large surveys in Saint-Gobain

The results of this internship will be directly used in the AI tool and presented to identified Saint-Gobain Business Units.

Technologies we use

We use Python, Azure Machine Learning, Generative AI (Chat GPT / ADA embedding), and Streamlit.

Requirements

We are looking for:

  • Someone friendly and open to collaboration
  • Good programming skills and familiarity with Python/Git and open source tools
  • Results-oriented with a motivation to have an impact on the field
  • Experience in Generative AI and Prompt Engineering is a plus
  • Excellent communication skills
  • Student in engineering school or university, specialized in Machine Learning, Computer Science, Statistics or related fields

Saint-Gobain encourages diversity in teams and promotes the inclusion of people with disabilities.


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