Academic Staff Member for Applied LLMs in Private Cloud | Akademischer Mitarbeiter (w/m/d) Angewandte LLMs aus der Private Cloud , Kennziffer: CC3

Job Summary

This role involves pioneering research and development of cloud-based Artificial Intelligence (AI) applications, specifically focusing on local Large Language Models (LLMs) deployed within a private cloud environment, aimed at transforming the German energy sector. The successful candidate will join an innovative team at the Brandenburg University of Applied Sciences (THB) to develop groundbreaking AI solutions with real-world impact. Day-to-day tasks include developing cloud-native AI applications, contributing to scientific publications, and collaborating closely with leading companies in the energy industry. Key requirements include a scientific university degree, preferably in Computer Science or Business Informatics, professional software development experience, and advanced knowledge in areas like Full-Stack Development (Python/JavaScript/TypeScript), Applied AI (LLM deployment/optimization), MLOps, or Container Orchestration (Docker/Kubernetes). This is a unique opportunity to actively shape the future of AI-supported energy management.