Auditor állások Németországban (programozó, fejlesztő)

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a Master's thesis following your internship

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

Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation....

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....

• conceptualize and set up the spatial reconstruction framework based on generative AI
• develop and benchmark AI-based methods (GAN, diffusion, transformer) and standard interpolation techniques (graph/spatiotemporal interpolation, kriging/GPs)

• Development, maintenance, and operation of business-critical insurance applications on the IBM i platform using RPG (RPG III, RPG/ILE, RPG/Free)
• Ensuring stable, efficient, and secure operation of core systems
• 2nd-level support for IBM i applications

• Take end-to-end responsibility for complex projects or defined areas of ownership
• Act as a senior expert on technical and business topics, driving high-quality solutions
• Work independently, set priorities, and resolve complex cross-functional challenges

• Take end-to-end responsibility for complex projects or defined areas of ownership
• Act as a senior expert on technical and business topics, driving high-quality solutions
• Work independently, set priorities, and resolve complex cross-functional challenges

- Collaborate with the research team on various AI/ML projects, contributing to the development and implementation of innovative solutions. - Design, train, and optimize AI models using frameworks such as PyTorch and TensorFlow. - Collect, preprocess, and analyze data required for training AI...

• Model Research: Conduct research on possible AI models for our use case
• Data Preparation: Assist in curating and preparing datasets of from our database of known errors
• Model Training: Training and fine-tuning the AI agent, ensuring it learns how to accurately detect errors and suggest fixes

• Development of scientific software for research projects in close consultation with researchers
• Advising researchers on the development and use of research software in terms of software quality and computational efficiency
• Conception and development of software documentation and user tutorials

• Design and implement modern front-end interfaces for energy performance dashboards and AI-driven applications
• Develop interactive visualizations and compelling data storytelling components for business stakeholders