Python állások Németországban (it programozás, fejlesztés)

You will analyse and evaluate technological developments and market trends in the areas of blockchain, DLT, smart contracts, tokenisation, CBDC and artificial intelligence....

• developing the control software for the next generations of lithography systems, driving the progress in the semiconductor industry
• implementing best in class embedded control systems on bare metal and on embedded Linux
• contributing to the software architecture definition and design

Tailor the SAP-RPT model family to the unique complexities of real-world relational enterprise data, enabling models to navigate and reason over intricate schemas and logic...

• Developing and evaluating AI systems based on Large Language Models (LLMs), Vision-Language Models (VLMs), and multimodal foundation models
• Designing agentic workflows that automate complex image analysis tasks

Design and maintain scalable dashboards that empower the Commercial Solutions team to make faster, data-driven decisions around pricing and commercial product performance...

• Act as the central data expert and Business Data Steward for the German Mortgages business.
• Analyse customer, product, portfolio, channel and risk data to provide insights, identify trends, detect anomalies and support business decision-making.

• Build Data Pipelines: Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving financial and operational data.
• Work with ERP Data: Integrate and model data from ERP systems and finance tools, including accounting, controlling, procurement, revenue, and cost data.

In this PhD project, you will investigate neural 3D scene representations, including neural radiance fields, Gaussian splatting, and implicit occupancy models, and adapt them to the unique challenges of in-cabin perception. Unlike exterior environments, where a moving sensor observes a largely...

• Supporting test preparation in our test lab
• Maintaining and structuring test documentation
• Executing tests, including defect logging and defect documentation
• Reviewing test reports, including recording and documenting relevant deviations
• Analyzing test results, including root cause analysis

• Exciting projects in the field of software development in the aerospace industry
• Many fields of activity in the area of application or hardware-related development
• Participation in the design and development of complex software
• Carrying out different test procedures
• Cooperation in system integration

Analysis of the data ecosystem: assessment of data systems, interfaces and data quality; evaluation of security / privacy and interoperability (data-level to user-level)...

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• You understand RABOT's departments, their core processes and our AI tooling (Claude, Claude Code, our data stack) well enough to run a process-discovery session on your own.
• You've shipped your first automation into production — something a team feels immediately.

• Build and run evaluation pipelines for LLM-based systems
• Analyze metrics, identify edge cases, and track quality
• Create and maintain Golden and Silver datasets
• Work with evaluation frameworks and tools (like Langfuse)
• Develop Python scripts for AI workflows (APIs, data processing, monitoring)

• Implementing and evaluating state-of-the-art quantum algorithms (e.g., QAOA, VQE, quantum annealing or others) for an optimization problem in the scope of optical systems
• Implement prototypes and demonstrators to evaluate quantum-enhanced optimization concepts for ZEISS applications

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

• Creating, refining, and maintaining high-quality 3D assets for digital twin applications
• Optimizing existing models and developing new assets in Blender for real-time visualization and simulation
• Building clean and efficient geometry, topology, UV layouts, and material setups

Own SEO data pipelines end-to-end. Design, build, and maintain automated pipelines that power all SEO analytics, from ingestion through transformation to dashboarding....

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,...

• 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