Richemont Machine Learning Ops Engineer

Richemont, a distinguished leader in the luxury goods sector, is renowned for its prestigious Maisons, including Cartier, Van Cleef & Arpels, and Montblanc, among others. As part of its strategic evolution towards New Retail, Richemont is committed to leveraging advanced technologies through its AI Center of Excellence, which spearheads Analytics and AI initiatives across its brands.

1. Develop components of the analytics and machine learning platform, including infrastructure modules and reusable components for AI/Analytics applications.
2. Industrialize, maintain, and enhance AI and analytics solutions on the Google Cloud Platform.
3. Manage infrastructure with a focus on reliability, security, and scalability.
4. Collaborate with Analytics Engineers, Data Scientists, and Infrastructure & Data Engineers for project delivery.

1. Master's degree in Engineering, Data Science, or related fields, or equivalent professional experience.
2. Proficiency in Python programming and SQL with 5+ years of experience.
3. 3-5 years of practical experience in MLOps.
4. 2+ years of professional experience with Google Cloud Platform.
5. 1+ years of experience with infrastructure as code, ideally Terraform.

1. Knowledge of Data Engineering principles.
2. Understanding of REST API and microservices.
3. Dynamic, innovative, and pragmatic approach to problem-solving.
4. Strong communication skills in English.
5. Ability to collaborate in multicultural and multifunctional environments.

5+ years in Python programming and SQL, 3-5 years in MLOps, 2+ years with Google Cloud Platform, 1+ years with infrastructure as code.

Master's degree in Engineering, Data Science, or related fields, or equivalent professional experience.

Opportunity to work in a fast-paced, multicultural environment with diverse stakeholders.

Richemont fosters a rich, dynamic, and innovative workplace culture, encouraging a pragmatic mindset and a strong sense of ownership among its employees. The company values diversity and collaboration across its global teams.