Data állások Németországban (it programozás, fejlesztés)

You steer internal and external international development teams to develop and operate a scalable, secure, and high-performance AI platform (In-Vehicle & Cloud)....

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

Lead and collaborate with cross-functional teams to generate digital biomarker signatures from complex datasets using AI/machine learning, enabling target engagement assessment, patient stratification, and early signals of biological activity....

Support the Lead PM in defining and maintaining the global AI product roadmap for Health Information Systems, ensuring alignment with corporate strategy and market needs....

Acting as Release Engineer / Technical Lead for one of Ambu's core AI/ML initiatives, providing technical direction and ensuring alignment across software, algorithms, systems, and regulatory requirements....

Independent research in accordance with good scientific practice: conception and implementation of scientific methods, experiment design, data collection and processing, and authoring publications in peer-reviewed journals...

• Configuration Management Expert with special focus on the C++ build system with CMake
• Manage and extend the SW build system for C++ according to product development.
• Implement changes, integrate new SW components and build variants.
• Migrate components from make to CMake.

• Configuration Management Expert with special focus on the C++ build system with CMake
• Manage and extend the SW build system for C++ according to product development.
• Implement changes, integrate new SW components and build variants.
• Migrate components from make to CMake.

• Support Product Data Management, Product Feed Management, and Product Data Distribution for key customers (e.g. Amazon and selected large customers)
• Work with end-to-end product data flows, from master data management through transformation layers to product integration and channel distribution

• Engage in advanced Data Analytics to uncover insights and drive strategic decisions
• Work with state-of-the-art platforms like Microsoft Fabric to build robust data solutions and pipelines

Define a holistic reference architecture across edge, mobile, and cloud environments, ensuring seamless interaction between devices, applications, and platforms...

• Design and implement advanced algorithms across AI, Data, Simulation, Processes, and Quantum Computing
• Lead the technical vision of interdisciplinary R&D projects
• Integrate emerging technologies and mentor young researchers
• Represent TWT at international conferences and forums

• Support the Project Management Office (PMO) in structuring and maintaining project governance artifacts (e.g. plans, reports, templates)
• Prepare and maintain status reports, dashboards, and meeting documentation (e.g. minutes, action tracking)

• Work hands-on on an AI-driven proof-of-concept for core after-sales processes
• Support the implementation and testing of PoC components such as data products, machine learning models, agent workflows, or UI elements

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

• Hands-on experience building foundations for realtime simulation systems
• The chance to learn, implement and extend state-of-the-art simulation methods (XPBD, advanced constraint solvers, hybrid models)
• Mentorship from PhD-level researchers

• Deliver a world class Runtime Platform, fully compliant and user-centric.
• Help build the strategy for the evolution of N26's Runtime Platform product, its interactions with the rest of the organisation, its global rollout and the decision to build vs buy.

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

• Lead product discovery and delivery for materials and inventory management solutions for our global supply chain clients.
• Drive integration with major ERP systems (e.g., SAP MM/IM) to ensure consistent, high‑quality data exchange.