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• 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...

Architecture & System Design: Identify and address architectural limitations, make pragmatic trade-offs, and help evolve systems toward scalability, reliability, and long-term maintainability....

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

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....

• Partnering with IT and business stakeholders to translate operational needs into scalable ServiceNow solutions, including service catalogs, workflows, and reporting
• Facilitating workshops and aligning ITIL-based processes with ServiceNow capabilities to drive adoption and process excellence

• Build and evolve mobile solutions: Design, develop, and maintain high-quality React Native applications.
• Own architecture and technical decisions: Understand platform specifics, runtime behavior, dependencies, and deployment pipelines to ensure maintainable, efficient, and scalable mobile solutions.

• Discussing and clarifying requirements with our internal domain experts
• Design and development of the algorithms that are optimized over various layers of our software stack
• Design and development of the software that interacts with specific hardware components

Backend .Net Software Engineer (m/w) 100% Ärztekasse Genossenschaft provides business process outsourcing and eHealth solutions to health professionals so they get relief from administration and can focus on medical work. In the context of an innovation initiative, Ärztekasse is renewing and...

• 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.

• 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.

• Lead the development of our automotive product Cybersecurity Management System aligned with global regulations and industry standards.
• Define and maintain cybersecurity engineering processes aligned with ISO/SAE 21434 across the V-model lifecycle.