Und állások, munkák rendszertervező kategóriában

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.

You design the reference architecture for the ML platform end-to-end: data ingestion, PB-scale data lake, heterogeneous training clusters, model registry, and deployment-ready artefacts....

You take strategic ownership of an AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services.You design and lead a multi-layered defense strategy against jailbreaks, prompt...

You will design and deliver end-to-end ADAS AI models such as object detection, behavior prediction, and trajectory planning - from data analysis and model design to SOP-ready release....

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

• Join a multidisciplinary team working on the forefront of generative AI applied to the engineering domain.
• Furthermore, you will develop a deep understanding of machine learning models applied to 3D geometries such as CAD files and simulations.

As a research engineer, you will be at the forefront of pioneering system design, with the responsibility to architect, develop, and deploy sophisticated AI systems that seamlessly integrate reinforcement learning with agentic AI systems and multi-modal foundation models....

• You design end-to-end AI and data architectures, from data ingestion to model serving that uses and extends platforms within our vehicles (with a strong focus on edge).
• Furthermore, you leverage open-source AI frameworks and proprietary frameworks.

End-to-End Process Design: Lead process design initiatives for complex international client implementations across SAP-centric logistics and IT landscapes. Drive process design, validation, and decision-making in close collaboration with customers, operations, IT, automation providers, and...

Development of the "Quality Management" domain according to the Area Consulting CoE Digital Supply Chain and Corporate IT Strategy. Ensuring relevant business functions through the efficient use of applications, interfaces, and technologies - with the goal of reducing complexity in the long term...

• Design scalable and secure cloud solutions on Azure to support data collection and processing
• Understand business and application needs to identify key architectural drivers
• Develop comprehensive solutions considering organizational constraints

• Encourage “thinking big” and holistic approaches towards solution building;
• Create an inclusive atmosphere where assorted opinions, ideas, personalities and work styles are recognized and respected;

• Encourage “thinking big” and holistic approaches towards solution building;
• Create an inclusive atmosphere where assorted opinions, ideas, personalities and work styles are recognized and respected;