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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?
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.
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
- 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.
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.
Key Skills
Ranked by relevance
ai
machine learning
cloud
google cloud platform
terraform
python
mlops
sql
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- Posted
- Jun 04, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Meyrin
- Company
- Richemont
Industries
Retail Luxury Goods
Jewelry
Categories
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Data Scientist
2026-05-19
Full-time
Not Applicable
Italy
Retail Luxury Goods
Information Technology
View Job Details
Related
Backend Engineer
2026-05-27
Full-time
Not Applicable
Switzerland
Technology
Engineering
View Job Details
Related
Data Science Specialist
2026-05-20
Full-time
Associate
Italy
Retail Luxury Goods
Engineering