MACHINE LEARNING ENGINEER

CONTEXT 

Richemont has a strong ambition to transform its business model towards New Retail. Part of this transformation is the Group Data Office that, among others, delivers Analytics & Data Science projects for the different Maisons.

The Analytics & Data Science team, belonging to “Group Data Office”, supports this vision by developing analytics and data science use cases, defining best practices across the group, and industrializing analytics & data science solutions. This team is recruiting a ML 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 (Generative) 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 Engineering, Data Science, or related fields or equivalent professional experience
• Proficient in Python programming & SQL (3 years or more)
• Practical experience in MLOPs (1 year or more)
• Professional experience in Google Cloud Platform (1 year or more)
• 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 Terraform is a plus
• Experience in Generative AI is a plus
• Experience in Vertex AI and DBT is a plus

HOW DO WE KEEP YOU SMILING?  

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. 

2.    The next step from there would be interviews with the Head of Data Science, Lead Machine Learning Engineer and our HR Business Partner.