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Fri Jun 06 2025
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Machine Learning Ops Engineer

Richemont

Switzerland (Meyrin) On-site

English

Employment Type: Full-time
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Job Description

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.

Richemont has a strong ambition to transform its business model towards New Retail. Part of this transformation is the “AI Center Of Excellence” that, among others, delivers Analytics & AI Projects for the different Maisons.

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

WHAT MAKES OUR GROUP DIFFERENT?
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.

Your Journey With Us
1.    If your application is selected, we will reach out to you ASAP for an informal introductory call.

  • The next step from there would be interviews with the Head of Data platform, Data Engineering team lead and our HR Business Partner.
Apply for this job
🍀 Please mention you found the job on EU Data Jobs. It helps us reach out to more companies. We wish you lots of success! 🍀

About the Company

 

At Richemont, we craft the future. Our unique portfolio includes prestigious Maisons distinguished by their craftsmanship and creativity. Richemont’s ambition is to nurture its Maisons and businesses and enable them to grow and prosper in a responsible, sustainable manner over the long term.

Richemont operates in three business areas: Jewellery Maisons with Buccellati, Cartier, Van Cleef & Arpels and Vhernier; Specialist Watchmakers with A. Lange & Söhne, Baume & Mercier, IWC Schaffhausen, Jaeger-LeCoultre, Panerai, Piaget, Roger Dubuis and Vacheron Constantin; and Other, primarily Fashion & Accessories Maisons with Alaïa, Chloé, Delvaux, dunhill, G/FORE, Gianvito Rossi, Montblanc, Peter Millar, Purdey, Serapian as well as Watchfinder & Co.

People are at the heart of Richemont’s success. Nurturing distinctive luxury craftsmanship, enabling a creative and innovative spirit and empowering people to grow is key to our purpose of crafting the future. As a global organisation, we employ people from 130 nationalities in 40 countries throughout our Maisons, regions and central functions offering the opportunity to build unique and diverse career journeys.
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