Data science állások, munkák rendszertervező kategóriában

• részvétel az IT rendszerek továbbfejlesztési projektjeiben,
• kapcsolattartás a business analyst munkatársakkal és fejlesztőkkel,
• üzleti követelmények alapján IT rendszerspecifikációk készítése,
• a rendszerspecifikációk illesztése az IT architektúra követelményekhez,

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

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...

Where you belong: Where you belong: ...

• Conceptualizing secure workflows for international submission of sensitive medical imaging data
• Defining architectural concepts for the benchmarking and evaluation platform, including controlled and secure execution of externally submitted models

• Hands-on experience building foundations for realtime simulation systems
• The chance to learn, implement and extend state-of-the-art simulation methods (XPBD, advanced constraint solvers, hybrid models)
• Mentorship from PhD-level researchers

Research Scientist in Machine Perception (80 -100%) W firmie ABB pomagamy przedsi?biorstwom dzia?a? sprawniej i czy?ciej – i ka?dy cz?owiek w naszej firmie si? do tego przyczynia. B?dziesz mie? mo?liwo?? przewodzenia, otrzymasz wsparcie w rozwoju i poczujesz dum? z wp?ywu, jaki wspólnie wywieramy....

Work in our Data & AI Center of Excellence (DACE) in close collaboration with a diverse team of 45 data scientists and AI engineers from various disciplines...

• Ensure state of the art testing across embedded, backend, and frontend domains to ensure high quality software products
• Create the test approach based on business and technical objectives
• Develop the test automation framework in close collaboration with other experts

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

• Own and maintain the Enterprise Architecture (EA) repository, ensuring high data quality and consistency
• Manage and evolve architecture data across applications, interfaces, technologies, and capabilities
• Map applications and systems to products, product teams, and value streams

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

• Analyzing customers' existing landscape from the technology perspective and provide transformation recommendations based on the findings
• Preparing outside-in target architecture based on available guidance and best practice recommendations to accelerate the scoping discussion with the customer

• Understand the business - Assess and support the business objectives for digital products and services
• End-to-end architecture of a distributed multi-brand energy management system for construction sites embedded within the LIEBHERR multibrand Ecosystem

Scalable Data Pipelines: Design, build, and operate automated pipelines on Apache Airflow to transform largescale automotive datasets reliably and on schedule....

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

Taking over a role of senior responsibilities in the research activities of LRZ's BDAI team, addressing the enhancement of current and development of future LRZ AI service offers. Here you will be initiating and contributing to research projects, their preparation, applications for funding and...

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite

• You will take overall technical responsibility for complex, cross-functional AI initiatives – from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions