Data engineer állások Külföldön (it programozás, fejlesztés)

• Autonomous analysis and documentation of client lifecycle and onboarding processes
• Encouraging innovation and maintaining links with different group departments
• Assisting in gathering and structuring business requirements in collaboration with business and IT stakeholders

• Lead the requirements during the BBP workshops.
• Translate business needs into clear, structured functional requirements.
• Support the Sr. Lead Consultant the coordination of business stakeholders and the delivery team (Configuration, data conversion and testing teams)

• Analyze available data sources for measuring the usage of AI-assisted software development tools (e.g., activity logs, usage metrics, prompt data, and other relevant sources)
• Define meaningful KPIs to measure adoption, engagement, productivity support, and potential quality-related effects

• Support architecture discussions, workshops and decision-making processes
• Create stakeholder-ready presentations and architecture artefacts
• Help drive Data & AI governance and architecture initiatives
• Collaborate with engineering, business and data teams across the organization

• Support of the modules MM, PP, and EWM
• Management of various add-ins within the SAP modules
• Definition and documentation of business processes in MM, PP, and EWM
• Support for Key Users in the departments at our sites and subsidiaries

You own and shape the team backlog – turning fuzzy ideas, customer feedback, and strategic roadmap objectives into a clear, prioritized list of things actually worth building....

As a student/intern in Innovation Management (d/m/f/x), you support the team in researching and evaluating new technologies and developments, particularly in the areas of artificial intelligence, cyber security, AI security, dual use technologies and defense applications....

• Monitor emerging AI developments across all domains and advise IT, leadership and internal stakeholders on opportunities arising from technological advancements in AI
• Identify and evaluate AI use cases together with administrative, scientific service and research units

• Build and optimize data pipelines and SQL queries against large investment datasets
• Prototype and evaluate new approaches: agent architectures, retrieval strategies, tooling and document findings for the team

• You will play a crucial role in bringing new ML and CV functionality to our new revolutionary digital microscopy online platform at ZEISS
• Together with our team of software developers and machine learning engineers you will work on improving our automated machine learning and computer vision toolset

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

You design end-to-end AI and data architectures from data ingestion to model serving, using and extending platforms within our vehicles with a strong focus on edge computing....

• Develop and execute ALTANA's procurement transformation roadmap using digital technologies, data and AI to improve performance and value creation • Implement transformation initiatives across source-to-contract, supplier management and procure-to-pay; increase productivity via automation,...

Test strategy and leadership: Own comprehensive strategies for AI-enabled computational pathology; define integration, system, regression, performance, and UAT approaches; proactively manage investigations; make decisions that achieve project objectives and improve effectiveness across projects....

Test strategy and leadership: Own comprehensive strategies for AI-enabled computational pathology; define integration, system, regression, performance, and UAT approaches; proactively manage investigations; make decisions that achieve project objectives and improve effectiveness across projects....

Design, develop, and maintain software platforms, internal tools, and enabling infrastructure for regulated computational pathology products, ensuring solutions are scalable, maintainable, and suitable for controlled development and deployment environments....

• Marketing agents risk being fragmented across teams with inconsistent quality and governance
• Value will be limited to task automation rather than end-to-end marketing transformation
• There is increased risk around brand consistency, compliance, and customer trust

Student Support - AI & Automation Implementation Finance (60-80%) Job Description We are looking for a motivated, technology-driven and hands-on student to support our Finance and Accounting teams in leveraging Artificial Intelligence (AI) and automation technologies across our global Finance...

• The customer from the first calls on: take apart their decision problem live, pre-sales, and turn it into a first mini model.
• Scope and lead the development project end-to-end; own the result, not just the planning and organisation.