Reference code: JR126619
Richemont gestisce alcune delle Maison di beni di lusso più importanti al mondo, in particolare nel settore della gioielleria, orologeria pregiata e accessori premium. Ogni Maison rappresenta l’orgoglio di una tradizione di stile, qualità e artigianato che Richemont cerca di preservare nell’identità e eredità di ognuna delle sue Maison. Allo stesso tempo, impegniamo le nostre forze nella creazione e nel design di prodotti innovativi che mantengano i valori delle nostre Maison, con un processo costantemente creativo.
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).
