Support the development, testing and improvement of internal business systems, digital solutions and company web platforms while gaining practical experience in real-world software projects.
Evaluate, fine-tune, and improve AI systems through structured testing, quality measurement, safety guardrails, and hallucination reduction techniques.
Implement and improve AI-assisted workflows for engineering teams working on hardware design, embedded software, component selection, documentation, and testing
Kubernetes Service Platform Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads
Evaluate, fine-tune, and improve AI systems through structured testing, quality measurement, safety guardrails, and hallucination reduction techniques.