Ai állások Németországban (programozó, fejlesztő)

• 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

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, observability, and the APIs that...

• 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.

• Unique opportunity to contribute to the development of the SAP-RPT model family
• Design, develop and manage tools and data pipelines that enable the processing of tabular data at scale

• Develop and optimize data pipelines and algorithms within the Snowflake environment.
• Manage code repositories, automate deployment processes, and collaborate with team members using Azure DevOps for continuous integration and machine learning model improvement.

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....

NEW SOLUTIONS EMERGE WHEN THINKING ISN'T HARD-WIRED. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly new solutions. Naturally, this includes flexible working models, so that our...

Design and implement scalable, secure, and maintainable fullstack solutions for AI-enabled applications and platforms, including components that leverage LLMs to enable advanced user interactions and automation...

• Experience engineering management firsthand: from team rituals to strategic planning
• Build and evaluate AI tools that support leadership and operational tasks
• Improve data-driven approaches to organizational decisions
• Contribute your ideas in team meetings where they'll have a real impact

• 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

• Build Fullstack Features: Implement user-facing features using modern frameworks and connect them to backend APIs.
• Backend Development: Contribute to Python-based backend services (Django REST or FastAPI), including API endpoints and business logic.

• Use your in-depth networking knowledge to shape, build and maintain the networking underneath for thousands of managed Kubernetes clusters on various cloud providers.
• Design and develop solutions for networking problems within Kubernetes clusters and around them.

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....

Own the SDK architecture. Technical direction for a library built on numerical algorithms and solver logic. Module boundaries, interface contracts, versioning. Drive key decisions through our RFC process....

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...

• Conduct empirical and theoretical interdisciplinary research on legal question answering in German laymen questions
• Design and execute state-of-the-art NLP experiments and user studies
• Independently analyze qualitative and quantitative data

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...