Description de l'entreprise Publicis Re:Sources is the global backbone of Publicis Groupe, delivering advanced technology and operational solutions. The GenAI team leads innovation in generative AI, developing and deploying large language models (LLMs) and advanced AI technologies for business impact. Descriptif du poste As an GenAI Data Scientist, you will join a dynamic team tasked with building, evaluating, and optimizing AI-driven solutions powering real-world applications. The ideal candidate will be passionate about modern data science, possess strong technical rigor, and bring a broad skillset spanning development best practices, cloud engineering, and applied mathematics. Responsibilités Design, develop, and improve AI/LLM-powered components and workflows for business use cases. Develop and maintain RESTful APIs enabling integration with backend AI services and scalable business solutions. Apply data science and machine learning expertise to build, fine-tune, evaluate, and optimize large language models and related systems. Collaborate with team members to identify, scope, and deliver impactful AI use cases. Contribute to rigorous model assessment practices, including benchmarking, safety testing, and performance optimization as part of a broader AI engineering skillset. Drive best practices in software development: maintain code quality, implement CI/CD pipelines, and leverage modern version control (e.g., GitHub). Deploy, scale, and manage models on cloud infrastructure, using containerization (e.g., Docker, Kubernetes) and cloud-native tools. Prepare technical documentation, communicate results, and support production rollouts. Qualifications Degree in Computer Science, Data Science, AI, Mathematics, or a related field. Strong grasp of data science core concepts and a mathematical approach to AI and model development. Proficient in Python Familiar with LLM APIs and tools (e.g., Hugging Face Transformers, Azure AI Foundry) and data-driven evaluation techniques. Comfortable with software development workflows: version control, CI/CD, code review, and collaboration. Hands-on experience with cloud environments (Azure, AWS, or GCP) and containerization technologies. Analytical mindset and solid communication skills. Informations complémentaires Work Environment & Benefits: Innovative, collaborative team focused on solving real-world challenges. Access to advanced computing infrastructure and LLM tooling. Opportunities for professional development and career advancement. Direct impact on high-visibility, enterprise-scale projects. This is a permanent opportunity for a technically strong, versatile engineer eager to shape the future of AI-powered business solutions with a multidisciplinary approach—including, but not limited to, benchmarking and evaluation expertise. Join us to build the next generation of AI products! Viva La Différence ! Cette philosophie de Publicis Groupe témoigne depuis toujours de notre engagement pour la diversité et de la conviction que nos talents sont notre plus grande richesse et notre meilleur atout. Nous valorisons ainsi toutes les singularités, sans distinction d’âge, de sexe, de couleur de peau, d’origine sociale, de religion, ou d’orientation sexuelle… seules la compétence et l’énergie comptent ! Nous encourageons toutes les candidatures qualifiées et seront ravis d’accompagner tout au long du processus de recrutement, de manière personnalisée un.e candidat.e en situation de handicap qui en ferait la demande. Publicis France est engagé pour l’égalité des chances et l’équité d’opportunités pour tous et toutes.