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• 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....

• 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

• Ensuring the quality, reliability, and correctness of complex applications across web, API, database, and mobile layers
• Design and execution of functional, regression, and integration test cases
• Analysis of system behavior end to end

• Design, develop and maintain software, tools and applications across the Baseball tracking platform
• Modernise and improve existing software systems
• Develop cross-platform C++ applications and visualisation components
• Participate in code reviews, pair programming and agile ceremonies

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...

• Designing applications to meet business process and application requirements
• Building applications to meet business process and application requirements
• Configuring applications to meet business process and application requirements
• Collaborating and managing the team to perform effectively

• 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

• 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

• 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)

• Creating and executing testing scenarios for manual and functional testing on products using physical testing devices and BrowserStack across multiple platforms
• Designing, implementing, and maintaining end-to-end test suites using JavaScript/TypeScript with Playwright

• Elicitation, analysis, documentation, and validation of business and technical requirements
• Bridging between business stakeholders, architects, and development teams
• Translation of business needs into detailed functional and technical specifications

• Design and develop scalable cloud security automation solutions across multi-cloud environments
• Build and maintain platform services using modern engineering practices and a code-first approach
• Own and enhance CI/CD pipelines that enable secure, reliable and efficient delivery

• Support the implementation, maintenance and continuous improvement of IT compliance and governance frameworks in line with regulatory requirements (e.g. DORA, ISO 27001)
• Monitor compliance with internal IT policies, procedures and external regulatory requirements (e.g. BaFin expectations)

• Design and scale sovereign AI platforms on Azure Kubernetes Service (AKS)
• Ensure high availability and reliability for multi-agent AI systems
• Enable secure enterprise-grade AI deployments
• Architect Zero-Trust environments for LLM-based solutions

• Building transformative AI capabilities from the ground up
• Working with conversational and agentic AI technologies to develop user-facing features
• Experimenting with generative AI models and techniques
• Tackling challenges at the intersection of AI and enterprise software

Lead, Plan, and Deliver: You are responsible for the team's technical execution. This involves translating user stories into detailed technical work packages, creating and managing the delivery plan in close cooperation with the AI Team and your own team, and ensuring projects are delivered on time...

• Létező rendszerek újraalkotása
• Saját kódbázis létrehozása közösségi közlekedést érintő fejlesztési feladatok mellett
• Agilis fejlesztés iránti elkötelezettség
• Komplex business domain megértése és fejlesztése
• Webes alkalmazások fejlesztése
• Dokumentációk készítése

• 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