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• Richemont owns some of the world’s leading luxury goods Maisons, with particular strengths in jewellery, watches, fashion and accessories. Each Maison represents a proud tradition of style, quality and craftsmanship and Richemont seeks to preserve the heritage and identity of each of its Maisons. At the same time, we are committed to innovation and designing new products which are in keeping with our Maisons’ values, through a process of continuous creativity
• Richemont owns some of the world’s leading luxury goods Maisons, with strengths in jewelry, fine watches & premium accessories, including Cartier, Van Cleef & Arpels, Montblanc, Roger Dubuis, Vacheron Constantin, etc
• The Machine Learning Engineering team, belonging to “Richemont Group tech data platform”, supports this vision by developing the analytics and machine learning platform, best practices, templates and industrializing Analytics & AI Use Cases. This team is recruiting a Machine Learning Ops Engineer to work under the Lead Machine Learning Engineer

HOW WILL YOU MAKE AN IMPACT?

• Develop components of the analytics and machine learning platform, including: infrastructure modules, reusable components for AI/Analytics applications or architecture templates
• Industrialize, maintain and improve AI and analytics solutions in Google Cloud Platform
• Manage the infrastructure with special focus on reliance, security and scalability
• Partner with Analytics Engineers, Data Scientists, Infrastructure & Data Engineers for the project delivery

HOW WILL YOU EXPERIENCE SUCESS WITH US?

• Graduate in Master program in Engineering, Data Science, or related fields or equivalent professional experience
• Proficient in Python programming & SQL (5 years or more)
• Practical experience in MLOPs (3-5 years or more)
• Professional experience in Google Cloud Platform (2 years +)
• Practical experience with infrastructure as a code, ideally Terraform (1 years +)
• Knowledge of Data Engineering principles
• Knowledge of REST API and microservices
• A dynamic, innovative & pragmatic mindset to problem solving, and an ability to think critically and objectively, both independently & within a team
• Proactive, curious and autonomous with a strong sense of ownership and always on the look to improve the current solutions
• Strong communication skills, English is a must, ease to collaborate in multicultural and multifunctional environments
• Experience in Vertex AI and DBT is a plus

This is a fantastic opportunity to join the leader of luxury digital distribution as a builder of excellence for such a transformational practice. The business impact up for grasps, the AI use cases and diversity of stakeholders will make it rich, fast-paced, multicultural and fun for the right candidate

2. The next step from there would be interviews with the Head of Data platform, Data Engineering team lead and our HR Business Partner