Set állások Németországban (it programozás, fejlesztés)

Design, develop, and maintain SAP's official AI Core SDKs for Python, Java, and TypeScript....

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

• 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

• Define required template process adaptions (incl. business roles, system authorizations and data requirements) for multiple (parallel) SAP S/4HANA deployment projects
• As per design governance, decide on process designs and/or facilitate decision-making in higher committees

• Your primary focus is on implementing HMI-related services, with the user interface to be developed using QML.
• Your role involve working on both the functionality and visual aspects of the interface, ensuring a seamless and intuitive user experience

Set up and integration of complex robotic systems for mobile manipulation tasks...

Own the SDK architecture. Technical direction for a library built on numerical algorithms and solver logic. Module boundaries, interface contracts, versioning. Drive key decisions through our RFC process....

• Take end-to-end responsibility for complex projects or defined areas of ownership
• Act as a senior expert on technical and business topics, driving high-quality solutions
• Work independently, set priorities, and resolve complex cross-functional challenges

• Take end-to-end responsibility for complex projects or defined areas of ownership
• Act as a senior expert on technical and business topics, driving high-quality solutions
• Work independently, set priorities, and resolve complex cross-functional challenges

Where you belong: Where you belong: ...

Where you belong: Where you belong: ...

• Unique opportunity to contribute to the development of the SAP-RPT model family
• Design, develop and manage tools and data pipelines that enable the processing of tabular data at scale

• Leading Account & Customer Relationship Management:
• Strategic account management and positioning of SAP as a strategic digitalization partner in terms of cloud and artificial intelligence for public administration, both at the political and technical level.

• Architect and implement AI solutions within SAP systems to enhance business processes and decision-making.
• Design and deploy scalable, secure, and high-performing AI powered applications on SAP BTP.

• Support our customers on their transformation to SAP S/4HANA / Intelligent Enterprise.
• Delivery of remote and onsite services together with our experts for global customers with focus on system optimization, conceptual planning as well as empowering the customers with newest best practice knowledge.

• Help establish yourself as a key contact for AI-related topics at customers
• Support the design of SAP Business AI architectures aligned with customer business strategy
• Develop AI Strategies for our customers
• Translate strategic AI initiatives into measurable business value

• defining the software architecture for the next generations of lithography systems, driving the progress in the semiconductor industry
• finding the best solutions for embedded control systems, considering modularity and sustainability, hardware limitations and performance specifications

• developing the control software for the next generations of lithography systems, driving the progress in the semiconductor industry
• implementing best in class embedded control systems on bare metal and on embedded Linux
• contributing to the software architecture definition and design

• 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

You design the reference architecture for the ML platform end-to-end: data ingestion, PB-scale data lake, heterogeneous training clusters, model registry, and deployment-ready artefacts....