Data science állások Németországban (it programozás, fejlesztés)

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....

Work in our Data & AI Center of Excellence (DACE) in close collaboration with a diverse team of 45 data scientists and AI engineers from various disciplines...

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....

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

• Lead and coordinate international innovation projects across AI & Engineering
• Build trust-based partnerships with clients and researchers
• Translate complexity into clarity – and ideas into business value
• Mentor teams and foster a culture of excellence

• Ensure state of the art testing across embedded, backend, and frontend domains to ensure high quality software products
• Create the test approach based on business and technical objectives
• Develop the test automation framework in close collaboration with other experts

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

Function as a key member of the bank's risk function (Second Line of Defense), reporting directly to the Deputy CISO and maintaining close collaboration with First Line of Defense teams on matters of ICT risk management....

• Own and maintain the Enterprise Architecture (EA) repository, ensuring high data quality and consistency
• Manage and evolve architecture data across applications, interfaces, technologies, and capabilities
• Map applications and systems to products, product teams, and value streams

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

Partner with Marketing: Act as a strategic partner to the Marketing organisation and advocate for data-driven decision-making by effectively communicating AI strategy and its alignment with business objectives....

• You will build customized automation solutions for ZEISS customers that need support for special electron microscopy applications
• Typically, these solutions encompass a completely automated electron microscopy workflow from image acquisition to the image analysis

• You lead the strategy and roadmap for our enterprise eHealth portfolio, including cloud and platform solutions.
• You own and manage the full product lifecycle, from concept and MVP to launch, scaling, and end of life.

• Analyzing customers' existing landscape from the technology perspective and provide transformation recommendations based on the findings
• Preparing outside-in target architecture based on available guidance and best practice recommendations to accelerate the scoping discussion with the customer

• Support the implementation, maintenance and continuous improvement of IT compliance and governance frameworks in line with regulatory requirements (e.g. DORA, ISO 27001)
• Monitor compliance with internal IT policies, procedures and external regulatory requirements (e.g. BaFin expectations)

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• 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

• Build and develop long-term strategic relationships with leading industrial customers
• Identify innovation opportunities and translate emerging technologies into customer value
• Shape collaborations between industry partners, universities, and research institutions

Shape the Vision: Shape and execute an AI-first strategy for digital service, closely collaborating with global Customer Care and Field Service leaders to transform operations....