Support the development, maintenance and monitoring of generative AI processes, including data preparation, testing and model fine-tuning;
Collaborate with the team of analysts on the design, documentation and evolution of machine learning and generative AI solutions;
Assist with automation of routines, dataset preparation and organization of data pipelines;
Act as an interface between departments for the collection, standardization and updating of information required by the models;
Support the preparation of technical documents, presentations and reports related to generative AI experiments.

Academic background in Computer Science or Engineering, Data Science, Statistics, Mathematics, Economics or related fields;
Knowledge of statistical modeling, machine learning (DL, NLP) and generative AI;
Basic understanding of language models (LLMs), prompt engineering or ML/LLMOps pipelines will be considered a plus;
Proficiency in Python, SQL, object-oriented programming and unit testing;
Familiarity with tools such as Git and cloud computing environments (AWS) is desirable;
Interest in exploring innovative AI solutions and following technological trends;
Proactivity to test concepts, suggest improvements and learn new technologies;
Ability to organize tasks and maintain good working relationships with team members and stakeholders.

Data Science Intern

Key skills