Key Facts

Remote From:

Full time

French

Hard Skills

Natural Language Processing (NLP) PyTorch (Machine Learning Library) Generative Artificial Intelligence Hugging Face (NLP Framework) Prompt Engineering Large Language Modeling Intelligent Agent Digital File Management Python (Programming Language) GPT-3 (NLP Model) TensorFlow Computer Vision Machine Learning Optical Character Recognition (OCR)

Other Skills

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Social Skills
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Problem Solving

Roles & Responsibilities

Mastery of data science modeling including training classical models and fine-tuning deep learning models such as BERT
Strong knowledge of Python machine learning libraries for Generative AI: PyTorch, TensorFlow, Transformers, and LangChain
Significant experience in NLP; experience in Computer Vision (OCR and YOLO) and building a Retrieval-Augmented Generation (RAG) system; solid knowledge of the Generative AI ecosystem (GPT-4, GPT-4o, prompting techniques; open-source LLMs such as LLaMA 3, Mistral)
Implementation of metrics to evaluate model performance

Requirements:

Join a dynamic team as a Senior Data Scientist on Document Factory RAG and AI Agents, strengthening and scaling existing models with a focus on innovation and continuous technology monitoring
Build, implement, and evaluate Retrieval-Augmented Generation systems and pipelines, integrating commercial and open-source LLMs and prompting techniques
Research, prototype, and test state-of-the-art models; develop metrics to evaluate model performance and ensure robust deployment
Collaborate with cross-functional teams, communicate findings effectively, and contribute to solution design; French-speaking

Job description

RESPONSIBILITIES

What you will do:

You will join a dynamic and innovative team, working as a Senior Data Scientist on topics such as Document Factory RAG (Retrieval-Augmented Generation) and AI Agents – strengthening existing models and scaling them, ensuring a strong focus on innovation and continuous technology monitoring.

Profile

REQUIRED PROFILE

Mastery of data science modeling: training classical models and fine‑tuning deep learning models such as BERT.
Strong knowledge of Python machine learning packages and libraries related to Generative AI: PyTorch, TensorFlow, Transformers, and LangChain.
Significant experience in NLP.
Experience in Computer Vision (OCR and YOLO models for object detection).
Experience in building a RAG system and solid knowledge of the Generative AI ecosystem (commercial LLMs such as GPT‑4, GPT‑4o, prompting techniques, and open‑source LLMs such as LLaMA 3, Mistral).
Implementation of metrics to evaluate model performance.

Other skills: