Python programozó diákmunka állások, munkák Németországban

• Design and implement end-to-end automated workflows using platforms like Power Automate, N8N or python to streamline document-heavy business processes.
• Manage dynamic content and variables to ensure data flows correctly between disparate systems like SharePoint, Excel, and APIs

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

• 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....

• Support the development, documentation, and improvement of operational processes in pilot production
• Contribute to quality and process improvement projects, including the optimization of quality documentation, data analysis, and production processes

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...

• 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

• Evaluation of different technologies in the field of cellular, NB-IoT and sub giga based communication standards
• Support the selecting process for MEMS and IMU's with focus on ultra-low power use cases

• Development and process engineering design of electrochemical CO₂ conversion processes
• Transfer of laboratory results into robust scale-up concepts for pilot scale
• Preparation and further development of mass and energy balances
• Development, application, and interpretation of process simulations

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...

Cloud platform engineering: Develop and implement automation processes for the deployment and operation of cloud software and services using platform engineering, infrastructure as code (e.g., Terraform), and Kubernetes....

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)...

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...

• Cloud Operations: Design, implement, monitor, maintain and optimize the SAP Sovereign Cloud system landscape for Germany.
• Setup of a multi-system landscape architecture and integration aspects between heterogeneous system technologies.

• 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;

• Execute, maintain and improve manual test cases in Azure DevOps, including updating test steps, logging defects, and verifying bug fixes through retesting.
• Support testing teams in preparing, configuring, and maintaining test equipment required for Component, Integration, and E2E testing activities.

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

• Design, implement, and manage document embedding storage solutions
• Develop and optimize processes for efficient information extraction from documents, including handling complex nested structures, to create
• and populate databases for our advanced chatbot applications