Administer and support enterprise Red Hat OpenShift Container Platform (OCP) environments, including Openshift Virtualization, Containerization and AI variations
Translate grant conditions, milestones and deliverables into a structured programme tracking framework (plans, RAID logs, milestone trackers) for the AI Hub.
Design, develop, and maintain enterprise AI agents using Gemini Enterprise, including multi-agent orchestration, tool integration, and conversational workflows.
Bringing each AI Factory under Rafay, and standing up and tuning Kubernetes clusters (and Slurm where used) with GPU nodes to meet agreed design and performance targets
Deploying and configuring the underlying cluster infrastructure (Kubernetes and/or HPC schedulers such as Slurm) with the Platform Deployment Engineers, from initial build through to handover
Lead strategic AI initiatives: Drive the end-to-end design, training, and deployment of state-of-the-art deep-learning and multimodal models that scale to millions of users — spanning computer vision, vision-LLM, multimodal fusion, and AI-agent applications.
The role focuses on enabling AI capabilities within Infineon’s manufacturing operations to drive cost reduction and efficiency improvements. By understanding business requirements and developing scalable solutions, the intern will help deploy AI models on cloud platforms to optimize production processes.