Karrierprogram állások Külföldön (it programozás, fejlesztés)

• Developing an AI-based system (utilizing an IT database) for regulatory management
• Developing systems for monitoring and managing regulations using MS Power Automate
• Analyzing global vehicle homologation regulations to identify differences in specifications

• Development and optimization of AI applications for production and development processes
• Analysis of large production, quality, and process datasets
• Creation of dashboards and data models for data-driven decision-making
• Development of machine learning models for quality improvement

• Developing and testing concepts for medical robotics and robot-assisted surgery
• Evaluating concepts both in simulation and on real setups, getting hands-on experience with robotics in the medical field
• Conducting experiments in our robotics laboratory

Support the analysis and steering of digital business performance across Mercedes-Benz markets, identifying opportunities to improve eCommerce results and customer experience...

• Develop and refine MxR prototypes using Godot and C++.
• Implement new features for immersive clinical applications.
• Collaborate with engineers and surgeons to evaluate prototypes in real-world settings.

Working Student – Data, Infrastructure & Integrations and/or AI/ML Application Development (m/f/d) (40-60%) Your mission About Corealis Corealis Consulting stands for the implementation of profound changes that start at the core of the organization. We create lasting impact through clear structure,...

• Autonomous analysis and documentation of client lifecycle and onboarding processes
• Encouraging innovation and maintaining links with different group departments
• Assisting in gathering and structuring business requirements in collaboration with business and IT stakeholders

• Evaluation of different technologies in the field of cellular, NB-IoT and sub giga based communication standards
• Support the selecting process for MEMS and IMU's with focus on ultra-low power use cases

• Identification of the promising state-of-the-art model approaches
• Definition (or refinement) of test cases and driver interaction scenarios
• Benchmarking of available model types under defined boundary conditions (based on requirements from previous investigations)

• Collect, process, and analyze large and complex data sets.
• Support the development and implementation of data analytics solutions.
• Prepare presentations, reports, and visualizations to effectively communicate data findings to stakeholders.