The department of Generative AI and Data Science (GADS) centre has a mission to bring forth the best of ideas among what people express spontaneously in surveys and on the web. Our team uses cutting-edge research models in artificial intelligence, including generative AI to analyze enormous quantities of text data, images and videos.

Our work environment is open, flexible and convivial. You will work and grow in a multi-faceted international team, based in Paris and composed of Data Scientists, Natural Language Processing Engineers, and front-end and back-end developers.

Your missions :

• AI development – Helping implement different algorithms of Machine Learning (including neural networks), both supervised and non-supervised, and applying them to unstructured data. Work on each aspect of the methodological development, be it on the selection process of the training data, the selection of the model to be applied or the validation of said model.

• Deploying the solutions – Once the research for a bespoke model is finished, deploying the model for production in partnership with developers.

• Knowledge of data sources – Account for the wealth of information and their specificites brought in by different sources of unstructured data available (text, image and video), whether they come from social networks or from surveys.

• Working on diverse languages – Treating different languages, even if those are limited in terms of linguistic resources, improving existing tools or develop and test new ones.

• Account for the cultural and linguistic particularities in the data.

• Analysis of the results produced by the models and fitting them into business use cases

• Students from engineering school and/or pursuing a Master’s in Machine Learning or AI or a very strong background of AI with computational linguistics (NLP). Previous personal projects or work experience is an asset.

Skills :

• Generative AI – comprehensive idea of prompt engineering

• Computer science: Python. Good knowledge of NLP tools and libraries (regexes, spaCy…) and/or of Machine learning libraries (scikit-learn, keras, tensorflow, pytorch…) is an asset.

• Development: usage of command line, IDE, Github and Cloud Platforms (GCP)

• BONUS - Natural Language Processing: one of the following fields: POS-tagging, parsing, translation, NER, Topic Modeling, text classification, sentiment analysis

• English expertise required, and knowledge of other languages than Arabic and Chinese will be a real advantage.

• First contact by a GADS member

• Tchnical take home test if candidature is retained

• Interview on technical test sent

• Interview with the HR