Reference code: JR126619
Richemont vereint einige der weltweit führenden Maisons für Luxusartikel mit besonderer Expertise in der Fertigung von Schmuck, exklusiven Uhren und Premium-Accessoires. Jedes Maison steht für eine eigene stolze Tradition des Stils, der Qualität und des Handwerks, und Richemont hat sich zur Aufgabe gemacht, das einzigartige Erbe und die Identität jedes einzelnen Maison zu bewahren. Gleichzeitig verpflichten wir uns in einem kontinuierlichen kreativen Schöpfungsprozess der Innovation sowie der Entwicklung neuer Produkte auf Grundlage der besonderen Werte unserer Maisons.
You will be responsible for:
- Designing & developing complex ML & AI-driven applications to solve business problems, including natural language processing (NLP), computer vision, time series analysis, recommendation systems, etc.
- Leveraging Generative AI to build and deploy innovative multimodal RAG (Retrieval-Augmented Generation) systems and Agentic AI solutions.
- Industrialize, maintain and improve AI solutions in Google Cloud Platform.
- Manage the infrastructure with a special focus on reliance, security, and scalability.
- Exploring new AI technologies to drive innovation across Richemont.
- Developing reusable modules or templates for AI applications.
- Partnering with our Maisons to understand their unique business challenges and empower them by providing Machine Learning Engineering training, mentorship, and best practices to enhance their data capabilities.
- Partnering with Data Scientists, Analytics Engineers & IT to deliver solutions.
If you have:
- Master's or PhD degree in a relevant field such as Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, or a related Engineering discipline.
- 2+ years of experience in Machine Learning Operations, with a proven track record of deploying and managing machine learning models.
- 2+ years of professional experience in Python programming languages and data-related libraries.
- 2+ years of professional experience in Cloud platforms (GCP preferred).
- Professional experience with infrastructure as a code, ideally Terraform.
- Professional experience in deploying generative models for various applications.
- Knowledge of Data Engineering principles.
- Knowledge of REST API and microservices.
- Autonomy, proactive, & curious with a strong sense of ownership.
- Proficiency in English is a must: Strong communication skills, ability to explain complex topics to top-level management.
- Bonus if you’re experienced in DBT and/or Infrastructure as Code (IaC).
