Python állások Németországban (it programozás, fejlesztés)

• 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

Strategy and Leadership: Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function, ensuring alignment with N26's product and business goals....

• Familiarize yourself with state-of-the-art methods in reliability modeling
• Develop modeling approaches for load-driven degradation data
• Implement and compare different modeling approaches to identify the most efficient method, taking statistical variation and measurement uncertainty into account

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...

Scalable Data Pipelines: Design, build, and operate automated pipelines on Apache Airflow to transform largescale automotive datasets reliably and on schedule....

• 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

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Design and implement modern front-end interfaces for energy performance dashboards and AI-driven applications
• Develop interactive visualizations and compelling data storytelling components for business stakeholders

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

• Discussing and clarifying requirements with our internal domain experts
• Design and development of the algorithms that are optimized over various layers of our software stack
• Design and development of the software that interacts with specific hardware components

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...

• 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

Lead and manage a global team of data scientists, ML engineers, and AI researchers, setting technical direction, ensuring quality, and fostering a strong culture....

Play a key role in shaping Group-wide data governance by ensuring data is trusted, discoverable, and responsibly used across the organization, with a strong focus on the Group Data Catalog (Data Galaxy)...

• Conduct independent research at the intersection of data science and public policy with a focus on ML/AI, causal inference, and/or computational methods;
• Collaborate with faculty and Data Science Lab members on joint research projects;

Achieve the strategic goals of the state Baden-Württemberg in training on HPC and Data Intensive Computing, (after a successful transitional phase) by leading the training work package of the bwHPC-S5 project....

You will design and write a master's thesis on predictive maintenance for the electric heating elements of a commercial dishwasher....

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....

• Contribution to the development and implementation of machine learning and artificial intelligence methods in clinical diagnostics and biomedical research
• Application of classical statistical methods for the processing and analysis of raw data from various omics datasets

• An agile work environment with the possibility to work on various tasks for frontier research on medical applications
• A dynamic, motivated, diverse team with a large and active student community
• A modern office culture mixed with flexible working hours