Reference code: JR126619
Richemont, l’un des leaders mondiaux dans le secteur du luxe, possède différentes Maisons spécialisées dans la joaillerie, l’horlogerie et les accessoires haut de gamme. Chaque Maison incarne fièrement une tradition de style, de qualité et d’artisanat et Richemont s’efforce de préserver l’héritage et l’identité propres à chacune d’elle. Dans le même temps, nous nous engageons à innover et à concevoir de nouveaux produits en accord avec les valeurs de nos Maisons, à travers un processus de créativité permanente.
You will be responsible for:
- Designing & developing complex ML & AI-driven applications to solve business problems, including natural language processing (NLP), computer vision, time series analysis, recommendation systems, etc.
- Leveraging Generative AI to build and deploy innovative multimodal RAG (Retrieval-Augmented Generation) systems and Agentic AI solutions.
- Industrialize, maintain and improve AI solutions in Google Cloud Platform.
- Manage the infrastructure with a special focus on reliance, security, and scalability.
- Exploring new AI technologies to drive innovation across Richemont.
- Developing reusable modules or templates for AI applications.
- Partnering with our Maisons to understand their unique business challenges and empower them by providing Machine Learning Engineering training, mentorship, and best practices to enhance their data capabilities.
- Partnering with Data Scientists, Analytics Engineers & IT to deliver solutions.
If you have:
- Master's or PhD degree in a relevant field such as Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, or a related Engineering discipline.
- 2+ years of experience in Machine Learning Operations, with a proven track record of deploying and managing machine learning models.
- 2+ years of professional experience in Python programming languages and data-related libraries.
- 2+ years of professional experience in Cloud platforms (GCP preferred).
- Professional experience with infrastructure as a code, ideally Terraform.
- Professional experience in deploying generative models for various applications.
- Knowledge of Data Engineering principles.
- Knowledge of REST API and microservices.
- Autonomy, proactive, & curious with a strong sense of ownership.
- Proficiency in English is a must: Strong communication skills, ability to explain complex topics to top-level management.
- Bonus if you’re experienced in DBT and/or Infrastructure as Code (IaC).
