New programozó állások Németországban (it programozás, fejlesztés)

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

Marketing Process Architect: You are responsible for the end-to-end automation of our marketing processes. Your goal is to minimize manual operational effort in performance marketing through intelligent workflows....

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...

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

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....

• 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

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

• 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;

Collaborate with the responsible assessors and certification/zulassung authorities (BSI) as well as with colleagues from software development and product management;...

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....

• Engage in advanced Data Analytics to uncover insights and drive strategic decisions
• Work with state-of-the-art platforms like Microsoft Fabric to build robust data solutions and pipelines

Run structured stakeholder interviews across asset management, property management, leasing, finance / controlling, and ESG to surface the processes where AI could create real value....

• Design, develop, and integrate components for establishing trust (e.g. via SPIFFE) and securing network connections (e.g. mTLS, IPSec, Wireguard) in dynamic environments
• Leverage existing Open Source software to implement state of the art security features

• Adapt the design system to enable accurate prototyping with AI tooling
• Own components, patterns, and usage guidelines from definition to delivery.
• Proactively identify gaps in the enterprise system and translate insights into accessible, inclusive, and scalable solutions.

• 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.

• Ship clickable, working prototypes in AI-native tooling — Claude, Cursor, Replit, v0, Lovable, Figma Make, Bolt, or equivalent — within the same week an idea surfaces.
• Use prototypes as the discovery artifact. A working demo in front of a tenant beats a 12-page PRD every time.

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• Programming (mostly) in Golang (Kubernetes Operators, REST APIs, libraries and tools)
• Designing solutions providing new features for our customers
• Develop and operate highly scalable cloud solutions

• 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