Python programozó diákmunka állások Németországban (it programozás, fejlesztés)

In this PhD project, you will explore new approaches for creating the next generation of efficient autonomous decision-making systems....

Develop, maintain, and optimize automation workflows to increase efficiency, consistency, and reliability across infrastructure operations...

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

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...

• Further development and configuration of continuous integration in Gitlab and python
• Commissioning of cloud infrastructure
• Data evaluation and creation of dashboards
• Implementation of AI agents

• Contribute to the development of electronics, assemblies and control systems for measuring machines
• Support the team with development, documentation, organizational and purchasing tasks

• Contribute to the development of electronics, assemblies and control systems for measuring machines
• Support the team with development, documentation, organizational and purchasing tasks

• Contribute to the development of electronics, assemblies and control systems for measuring machines
• Support the team with development, documentation, organizational and purchasing tasks

• Developing a transformer-based neural network for the processing of NMR spectra
• Creating datasets from existing experiments within the CRC and from your own experiments, which are to be carried out during a research stay at KIT's Institute of Microstructure Technology (IMT)

• 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)?

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

• 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

• Own and manage the fab CIM ecosystem, including MES transformation and factory automation systems
• Oversee equipment integration and communications across manufacturing systems
• Define and execute the strategic roadmap for manufacturing systems within a high-volume wafer fab environment

• 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

Customer-Focused Outcomes: As a Senior SAP AI Engineer (f/m/d), you will be a key driver of customer value delivery, translating SAP AI architectural blueprints into fully functional, scalable, and production-ready solutions. Specifically, you will:...

You will be part of the quality assurance team of our platform — designing and running tests, qualifying hardware, and making sure everything we ship performs flawlessly on Linux and macOS. When customers run into trouble, you're also the person who helps them get back on track, and makes sure what...

• Translate R&D business and user requirements into effective system, process, and automation solutions
• Design, implement, test, and continuously improve automated workflows, AI-augmented data flows and AI Agents
• Ensure stable data flows, high data quality, and reliable system operations

• Analyze existing manufacturing and product-level data to identify structures and relationships.
• Design a structured data model to organize product-relevant data.
• Explore and link data to support product-level carbon footprint analysis.
• Develop queries and small-scale prototypes to test the data model.

• Support the setup, execution, and maintenance of performance tests for Utimaco products.
• Help collect, analyze, and report performance test results, including response times, throughput, resource usage, and system behavior under load.

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols