Python fejlesztő állások, munkák Németországban

• Screen and summarize scientific literature
• Develop prototype setups through simulation and experimentation
• Test hypothesis by planning and carrying out measurements
• Develop and implement algorithms to interpret sensor data
• Present your results at regular intervals
• Document your findings

• Own IAM strategy across Entra ID and Active Directory
• Manage conditional access, PIM/PAM, and identity lifecycle governance
• Develop identity-centric detections and threat-hunting workflows, analyzing Entra ID logs and privilege escalation paths in alignment with the SOC

• Stay informed about industry best practices and emerging trends in media evaluation, audience analytics, and sports marketing.
• Maintain modern analytical techniques and tools to enhance data interpretation and reporting.

• Build and maintain backend services and APIs using Java and Python
• Work on event-driven data pipelines based on Kafka
• Take ownership of services end-to-end: design, testing, deployment, monitoring, and iteration
• Ensure code quality, including writing and maintaining automated tests

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:...

• Development of software tools for analysis of measurement data from the photon diagnostic devices.
• Support data analysis with the objective of characterizing the X-ray beam and calculate SASE spectral information based on the acquired data.
• Support group with hardware and cable assembly.

Contribute significantly to the further development of N26's mortgage credit risk function, aligning with N26's growth aspirations, robust risk management objectives, and stringent regulatory compliance requirements within the retail mortgage business....

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

• Current-state analysis & data collection:Recording production value streams at the Tiengen site through time studies, interviews, and process walkthroughs.
• Process & material flow analysis:Identification of bottlenecks and waste along selected product families.

• Lab validation measurements of semiconductor Silicon Carbide (SiC) Diodes and MOSFETs
• Define test strategies, test limits, and parameter setups for SiC MOSFETs, diodes, and power devices based on device specifications and characterization targets. Document test strategies in work instructions

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.

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...

• 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.

• Work closely with quantitative datasets: cleaning, processing, running frequencies, building analysis files and identifying patterns that matter
• Prepare chart output and visualisations for client-facing presentations, translating analytical findings into clear, structured stories

• Administration, operation and optimization of network, server and cloud infrastructure
• Design, implementation and support of secure and highly available IT environments across multiple locations and vessels

• 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