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• Assess and advance the architectural intent crafted during pre-sales.
• Provide architectural leadership across the full transformation lifecycle and guide platform adoption and evolution.

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

Continuously evolve the global ZEISS store format strategy (e.g., experience centers, flagship, standard, shop-in-shop, pop-ups) by translating brand strategy, consumer journeys, commercial requirements, and emerging retail, design, and technology trends into clear, future-ready spatial concepts....

Define, implement, and continuously improve ZEISS retail excellence standards (e.g., customer journey, service protocols, visual merchandising, KPIs) in line with ZEISS retail strategy, brand positioning, and regional priorities....

• Develop embedded software for medical devices, ranging from low-level drivers to higher-level functionalities and embedded UI
• Take technical ownership of features and contribute to architecture, design, implementation, and testing

Take ownership of transfer pricing matters relating to the Education segment, leveraging strong financial acumen and business insights to ensure alignment with the group's global TP framework...