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• Contribute to day-to-day IT governance and compliance activities, helping to ensure effective and compliant operations.
• Assist the implementation and maintenance of IT processes.

• Magas szintű technikai és üzleti tanácsadás ügyfelek számára az Atlassian termékekkel és saját fejlesztésű megoldásokkal kapcsolatban
• Ügyfelek üzleti és IT folyamatainak felmérése
• Komplex megoldások tervezése, bevezetése és minőségbiztosítása

You design and own end-to-end AI and data architectures - from data ingestion and feature pipelines to model deployment and monitoring - with a strong focus on production-grade edge AI inside the vehicle....

• Own the target picture, design, and continuous development of the global HR Data Architecture, embedded in the ZEISS Enterprise Vision
• Define how HR data is structured, integrated, and processed – with a focus on modular, integrated architectures, real-time analytics, and AI/ML readiness

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

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

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

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

You will take a key role in shaping and designing our edge platform for developing, testing, deploying, and operating real-time applications....

• Support our team in developing software tools for detailed analysis of measurement data as part of the qualification of our mechatronic systems
• Work closely with our internal technical experts (f/m/x) and regularly align on your results

• Collaborate closely with your Tech Lead on architecting new features and seeing them through to completion.
• Design, develop, test, deploy and maintain software in a thriving environment.

Contact person for our business in the design and implementation of innovative customer service solutions with SAP Service in our global SAP SAP S/4 HANA system....

• Developing and extending GPU-accelerated rendering features using Vulkan
• Implementing physically based rendering (PBR) and material models
• Designing and optimizing shader pipelines using Slang and modern graphics APIs

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

• 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)

• 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

• 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

• Lead the technical lifecycle of ServiceNow and related governance platforms (IRM, Risk, Change, Incident, CMDB, Asset).
• Ensure configurations are secure, scalable, auditable, and aligned with regulatory standards.

• 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