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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....

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

• 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)

• 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)

• 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

• Own and execute the full IT audit cycle, covering risk and control management to ensure operational effectiveness, system reliability, and compliance with all relevant regulations and directives
• Support the definition of internal audit scope and contribute to the development of annual audit plans

Computational Materials Scientist We’re hiring a Computational Materials Scientist with a strong background in both physics-based simulation and machine learning-driven scientific modeling to build and scale domain-specific simulation and data generation workflows. You’ll work with ML researchers...

• Definition and execution of the MDM transformation roadmap, transitioning from a complex carve-out environment to a streamlined PE-backed operating model
• Establishment of a scalable and pragmatic MDM framework aligned with business priorities

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

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,...

End-to-End Data Lifecycle Ownership: Lead the design and implementation of tracking strategies that cover the entire lifecycle: from initial requirements gathering to Generation, and finally to automated Validation....

Focus on the medical applications of our ORBIS hospital information system, you will be responsible for customised configuration using our development tools (ORBIS Form Designer, ORBIS Medical Query Generator, ORBIS Experter, Jaspersoft® Studio, ORBIS U-Composer)...

• 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

• Design, maintain and deploy scalable, end-to-end training pipelines, including hyperparameter optimization
• Transfer control policies from simulation to real robotic hardware
• Integrate learned policies into a full-stack robotic system, including perception, planning, and actuation

• ServiceNow megoldások tervezése megfelelve üzleti, funkcionális és megfelelőségi követelményeknek
• Szoros együttműködés a Scrum csapattal backlog elemek átdolgozása, követelmények tisztázása és pontos becslések készítése érdekében

• Design and implement advanced algorithms across AI, Data, Simulation, Processes, and Quantum Computing
• Lead the technical vision of interdisciplinary R&D projects
• Integrate emerging technologies and mentor young researchers
• Represent TWT at international conferences and forums