Python állások, munkák Németországban

• 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.

• 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.

• Take an existing internal embedded development platform and port it to Zephyr RTOS as a proof-of-concept
• Create or extend lab setups involving various microcontrollers
• Explore the use of NPUs, DSPs, or other accelerators in RTOS-based systems

Apply your knowledge of security architecture to help software engineers build secure products and services across a diverse technology stack, including microservices, mobile applications, and cutting-edge AI-driven solutions....

Contribute to the development, implementation and maintenance of advanced risk measurement methodologies specifically for Interest Rate Risk in the Banking Book (IRRBB) and Credit Spread Risk in the Banking Book, including metrics like EVE (Economic Value of Equity) and NII (Net Interest Income)...

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

Build Europe's sovereign cloud infrastructure through open source at SAP, with a focus on network automation. You'll contribute to the ApeiroRA Reference Architecture within the EU's IPCEI-CIS initiative, developing Kubernetes operators and controllers that automate network provisioning and...

Conduct comprehensive economic research and capital market analysis, related to rates and FX markets in developed and emerging markets, to identify regime changes, trends, opportunities, and risks....

- Collaborate with the research team on various AI/ML projects, contributing to the development and implementation of innovative solutions. - Design, train, and optimize AI models using frameworks such as PyTorch and TensorFlow. - Collect, preprocess, and analyze data required for training AI...

• Your role will be to develop and establish the scientific foundations for a machine learning-based multiphysics framework, using surrogate models trained on validated EHL simulations.
• You will also create a novel, computationally efficient, data-driven design protocol for lubricated components.

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, observability, and the APIs that...

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

• Life
• P/C
• Sales
• Productivity
• Resilience
• Sustainability
• Central Functions

• Drive the evolution of retail credit risk frameworks: You will take
• methodological ownership

• Leading engineering projects incl. team lead for vehicle power net testing & vehicle diagnostic
• Plan, execute, document, publish & present status & results to internal & external customers
• Use tools like CANalyzer, CANoe, and data loggers to collect and analyze system data

• Development of scientific software for research projects in close consultation with researchers
• Advising researchers on the development and use of research software in terms of software quality and computational efficiency
• Conception and development of software documentation and user tutorials

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

• Conceptualization, development, and practical validation of innovative automated and AI-supported solutions to enhance documentation and analysis workflows
• Analysis of technical and regulatory requirements and translation into robust, technically feasible concepts

• Developing parallel and distributed algorithms for processing ultra-large 3D images across multiple GPUs
• Designing and adapting scalable deep learning models for segmentation and landmark detection (e.g. U-Net variants, Transformers)

• Creating products that make a real difference in the lives of patients and doctors
• Developing Acoustic and Language models based on our own state-of-the-art recognition
• Processing our enormous amounts of data for training and speaker adaptation