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 templatesIndustrialize, maintain, and improve AI and analytics solutions in Google Cloud PlatformManage the infrastructure with a focus on reliance, security, and scalabilityPartner with Analytics Engineers, Data Scientists, Infrastructure & Data Engineers for project deliveryHOW WILL YOU EXPERIENCE SUCCESS WITH US?Graduate in a Master’s program in Engineering, Data Science, or related fields or equivalent professional experienceProficient in Python programming & SQL (5+ years)Practical experience in MLOps (3-5+ years)Professional experience in Google Cloud Platform (2+ years)Experience with infrastructure as code, ideally Terraform (1+ years)Knowledge of Data Engineering principlesKnowledge of REST API and microservicesA dynamic, innovative, and pragmatic approach to problem-solving, with the ability to think critically and objectively, independently and in a teamProactive, curious, autonomous, with a strong sense of ownership and continuous improvement mindsetStrong communication skills; English is essential; ability to collaborate in multicultural and multifunctional environmentsExperience in Vertex AI and DBT is a plusWHAT MAKES OUR GROUP DIFFERENT?This is a fantastic opportunity to join the leader of luxury digital distribution as a builder of excellence for a transformational practice. The impactful AI use cases, diverse stakeholders, and fast-paced environment will be engaging and rewarding for the right candidate.YOUR JOURNEY WITH US:1. If your application is selected, we will contact you promptly for an informal introductory call.2. Subsequent steps include interviews with the Head of Data Platform, Data Engineering team lead, and HR Business Partner.
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