Python fejlesztő állások, munkák Németországban

• Onboarding new users
• Maintaining difference services (code) hosted on the cloud
• Drafting technical and non-technical documents, e.g., user manuals and security compliances.
• Receiving and processing basic service tickets from users
• Coding and scripting
• Assist in risk assessments, or penetration tests

Lead, Plan, and Deliver: You will own the technical execution for the AI team. This includes translating high-level user stories into clearly defined technical work packages, creating robust delivery plans in close cooperation with the SW Engineering Team and your own team, and ensuring timely,...

Support of user experiments from academia and industry, in particular (but not limited to) those employing small-angle X-ray scattering...

• Design/build AI-ready Lakehouse architectures (Databricks, Fabric) and data pipelines for analytics/ML
• Develop financial data models (Data Vault 2.0) with governance (Purview, Unity Catalog)
• Architect AI infrastructure: Cognitive Search, RAG, vector DBs, knowledge graphs for agentic AI

Best-in-Class Valuation Expertise: You deliver consistent, high-quality valuations across the entire project lifecycle (development, transactions, and operations), enabling well-informed, data-driven investment decisions....

Lead the design, maintenance, and continuous improvement of the ILAAP framework, ensuring it accurately reflects the firm's liquidity adequacy and risk appetite....

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

As a PhD candidate, your tasks will include investigating how foundation models can be effectively applied in industrial reality. To this end, you will develop innovative methods for adaptation, validation, and deployment....

• Design, maintain and deploy scalable, end-to-end training pipelines, including hyperparameter optimization
• Transfer control policies from simulation to real robotic hardware
• Integrate learned policies into a full-stack robotic system, including perception, planning, and actuation

• Implement and evaluate state-of-the-art motion planning and control approaches for highly unstructured environments
• Develop, refactor and maintain motion generation pipelines building blocks in a large robotics codebase
• Test approaches on real hardware in greenhouses

• Design and conduct longitudinal analyses linking autonomic measures (cardiac vagal control, sympathetic activity) to health, brain, and molecular biomarkers.
• Build and maintain reproducible pipelines to clean, harmonize, and integrate multi-modal data across waves and cohorts.

Manipulating and analyzing complex, high-volume and high-dimensional data to gain insights by using appropriate data analysis techniques, algorithms and programming languages in close collaboration with subject matter experts...

Where you belong: Where you belong: ...

• Which structural and semantic gaps exist in the Celonis OCPM representation of the current Mercedes-Benz planning process?
• Which semantic concepts of our approach can be formalized as a Semantic Layer (e.g., as an ontology / knowledge graph)?

• Design and conduct longitudinal analyses linking autonomic measures (cardiac vagal control, sympathetic activity) to health, brain, and molecular biomarkers.
• Build and maintain reproducible pipelines to clean, harmonize, and integrate multi-modal data across waves and cohorts.

You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving....

• Investigate and resolve data inconsistencies across complex end-to-end data pipelines
• Automate complex analytics across large datasets to validate outputs and identify anomalies or inconsistencies
• Debug pipeline failures and improve overall pipeline robustness

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...

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...

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...