Senior Embedded AI Developer

Deine Rolle im Team

Unsere Erwartungen an dich

Ausbildung

• University degree in electrical engineering, computer science, data science, artificial intelligence, mathematics, physics, or a comparable qualification.

Qualifikationen

• Strong expertise in embedded AI, particularly in neural network architectures, quantisation, hardware- and quantisation-aware training, as well as deployment formats and cross-platform portability.
• In-depth expert knowledge of hardware/software co-design for ML systems, including cross-layer optimisation, architecture search, benchmarking, and the design of neural accelerators.
• Proven success in transferring ML models from research or prototype phases into productive, value-creating applications on embedded targets.
• Comprehensive expertise in modern machine learning methods, including deep learning, multimodal models, end-to-end learning and transformer architectures, combined with a realistic understanding of their practical limitations.
• Very good English skills, both written and spoken, for working in an international environment; German skills are desirable and an advantage.

Erfahrung

• Extensive professional experience in the development, implementation, and operation of AI/ML models in an industrial or commercial environment.

Unser Angebot