Job description
The digitalization of our business model has strongly accelerated. Across all divisions, digital platforms are now essential to maintaining a seamless and engaging connection between clients and our brand. All divisions have developed omni-channel client journeys that connect physical and digital touchpoints for an exceptional client experience.
As part of the Europe Regional Digital team and reporting to the Data & AI Department, you will join the Artificial Intelligence Squad. The team focuses on exploring and implementing innovative solutions that leverage both traditional Machine Learning and Generative AI to enhance insights, automation, and creativity across our business.
Within the Artificial Intelligence Squad, you will contribute to products centered on the use of Generative and Agentic AI to support innovation and efficiency.
Your missions will include:
- Supporting the design and implementation of AI assistants and autonomous agents capable of reasoning and orchestrating tasks.
- Experimenting with Generative AI models for text understanding, summarization, and contextual retrieval, assessing their potential within our ecosystem.
- Exploring Agentic AI frameworks (such as LangChain or CrewAI) to enable autonomous reasoning, planning, and task orchestration.
- Collaborating with business stakeholders to identify, prototype, and evaluate use cases where Generative AI brings tangible value.
- Contributing to the documentation, presentation, and communication of outcomes to ensure alignment and knowledge sharing across teams.
Required profile:
- Solid understanding of machine learning concepts and strong interest in Generative and Agentic AI.
- Familiarity with pre-trained models and frameworks such as LangChain, CrewAI, or Semantic Kernel.
- Proficiency in Python and libraries such as transformers, pandas, and tools for rapid prototyping.
- Excellent communication and teamwork skills, with the ability to engage with both technical and non-technical stakeholders.
- Currently finishing a Master's degree (e.g. M2 or final year of engineering school) in a quantitative field such as statistics, mathematics, computer science, or physics.
- Excellent communication skills in French as well as in English
At CHANEL, we are committed to creating an inclusive culture that fosters personal growth and development while contributing to collective performance. We believe that the uniqueness of each individual contributes to the diversity, complementarity and effectiveness of our teams. We strongly encourage you to apply, as we value the experience and potential you could bring to the House of CHANEL.
Skills Required
- Solid understanding of machine learning concepts and strong interest in Generative and Agentic AI
- Familiarity with pre-trained models and frameworks such as LangChain, CrewAI, or Semantic Kernel
- Proficiency in Python and libraries such as transformers, pandas
- Excellent communication and teamwork skills
- Currently finishing a Master's degree in a quantitative field
- Excellent communication skills in French and English
What We Do
CHANEL is a private company and a world leader in creating, developing, manufacturing and distributing luxury products. Founded by Gabrielle Chanel at the beginning of the last century, CHANEL offers a broad range of high-end creations, including Ready-to-Wear, Leather Goods, Fashion Accessories, Eyewear, Fragrances, Makeup, Skincare, Jewelry and Watches. CHANEL is also renowned for its Haute Couture collections, presented twice yearly in Paris, and for having acquired a large number of specialized suppliers, collectively known as the Métiers d’Art. CHANEL is dedicated to ultimate luxury and to the highest level of craftsmanship. It is a brand whose core values remain historically grounded on exceptional creation. As such, CHANEL promotes culture, art, creativity and “savoir-faire” throughout the world, and invests significantly in people, R&D and innovation. At the end of 2019, CHANEL employed more than 28,000 people across the world.
