The history of Cartier is based on audacity and passion. We have adopted a pioneering and daring spirit that has continued to inspire our teams, across all businesses, from our boutiques to our workshops and our head offices for more than 170 years. We have more than 9,000 employees of 105 different nationalities who share an independent spirit and a commitment to excellence, and who aim to constantly enrich the house's heritage by pushing the limits of creativity.
Within the Digital Transformation & Industry 4.0 team, you contribute to accelerating the industrial process through the development and implementation of new digital transformation tools based on Artificial Intelligence.
HOW WILL YOU HAVE AN IMPACT?
Immerse yourself in Cartier's industrial process, your main role is to develop algorithms and solutions to solve complex problems by implementing Artificial Intelligence methodologies
Extract, organize and build, organize the data sets needed for modeling
Build analytical and predictive models of “Machine Learning” or “Deep Learning”
Support the production of models (MLOps)
Work in collaboration with technical and business experts to understand the business problem
WHAT ARE THE KEYS TO YOUR SUCCESS WITHIN OUR HOUSE?
WHAT DO WE HAVE TO OFFER YOU?
YOUR CANDIDATE JOURNEY WITH US
Your application is analyzed according to the requirements of the position. If you get an interview, you will meet an HR contact as well as your future manager. They will invite you to discuss your skills with them and to get to know them better. This will also be an opportunity for you to ask questions.
Throughout its history, Maison Cartier has distinguished itself through the commitment of each of its employees. We are convinced that when diversity, equity and inclusion are fully embraced, innovation and creativity emerge to deliver excellence. Regardless of visible or invisible differences, we are committed to creating an environment where everyone has an equal opportunity to reach their full potential, to be heard and to feel valued.
Entry into office: September 1, 2023, for a period of 6 months
Place of work: La Chaux-de-Fonds, Switzerland