Rimowa Assistant Machine Learning Engineer
RIMOWA, a distinguished German Maison within the LVMH Group, is renowned for its commitment to crafting essential travel tools that seamlessly blend luxury with functionality. With over 120 years of heritage, RIMOWA stands at the forefront of innovation and design, offering products that are built to endure a lifetime of meaningful journeys.
- Facilitate the understanding and adoption of Machine Learning and Generative AI concepts within Rimowa teams.
- Gather and analyze business requirements for AI/ML solutions.
- Evaluate market solutions to address business needs.
- Prepare and transform data for algorithmic processes.
- Test, validate, and select appropriate machine learning and AI algorithms.
- Implement a monitoring system for algorithm performance.
- Develop reusable code modules for various stages of the ML lifecycle.
- Create user interfaces for model interaction.
- Draft comprehensive technical and functional documentation.
- Currently pursuing a Master's degree in Data Science, Big Data, or a related field.
- Organized and structured approach to work.
- Proficiency in both French and English, written and spoken.
- Proactive with a strong sense of initiative.
- Proficiency in SQL query writing.
- Comfortable with object-oriented programming.
- Strong skills in Python programming.
- Understanding of fundamental Machine Learning concepts.
- Experience with Google Cloud Platform (BigQuery, Vertex AI) is advantageous.
- Experience with Dataiku is beneficial.
Entry-level experience is acceptable, suitable for beginners.
Currently pursuing a Master's degree (Bac +4/5) in Data Science, Big Data, or equivalent.
RIMOWA offers a dynamic work environment that celebrates diversity and inclusion, recognizing them as key drivers of growth and innovation.
RIMOWA is committed to fostering an inclusive and diverse workplace, reflecting the varied backgrounds and capabilities of its global consumer base. The company values diversity as a crucial element for business success and cultural enrichment.


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