Python programme állás, munka

• AI-Native Infrastructure: Modern, GPU-intenzív AI/ML keretrendszerek szoftveres alapjainak megtervezése és kiépítése.
• Deep Containerization: Komplex Docker image-ek faragása, kifejezetten GPU-kompatibilis, AI workload-specifikus erőforráskezelésre (NVIDIA-docker, CUDA optimalizáció).

• Integrate the HMI subsystem with other system components on various test environments and target devices
• Ensure correct configuration and seamless end-to-end operation

Our Software Development Engineer (SDE) interns use modern technology to solve complex problems while seeing their work's impact first-hand. You will own the entire lifecycle of your code - from design through deployment and ongoing operations. Key responsibilities include: collaborating with...

• Elemzés globális szolgáltatásminőségi adatokon
• Nem megfelelőségek, helyesbítő és megelőző intézkedések, ügyfélvisszajelzések és audit eredmények elemzése
• Minták, ok-okozati csoportok, ismétlődő problémák és kockázatok azonosítása
• Elemzések átalakítása világos következtetésekké és ajánlásokká

• As a Working Student AI Research Engineer for SLM Optimization (m/f/d/x), you will support the team in developing, refining, and managing caching mechanisms for Small Language Models (SLMs).
• You will contribute to the training and further development of models for cache prediction.

You will take a key role in shaping and designing our edge platform for developing, testing, deploying, and operating real-time applications....

• Discussing and clarifying requirements with our internal domain experts
• Breaking requirements down into manageable work packages, estimating effort, and identifying technical dependencies
• Designing and developing algorithms that span and are optimized across various layers of our software stack

• Owning the technical architecture on cloud and platform programmes from design through to production, across AWS and Azure.
• Leading engineering teams on delivery, typically three to eight engineers, through mentoring, code review and technical decision making rather than line management.

• Development of mathematical models to describe cellular dynamics
• Implementation of the models in a suitable programming environment
• Simulation of cellular dynamics within complex 3D structures
• Application of the computer model as a virtual bridge between in vitro and in vivo studies