About this role
AI Platform Engineer - Hybrid - - Beverwijk , Noord-Holland , Netherlands - NL - CNA We build environments where AI can run safely, scalably, and manageably. Not isolated proof-of-concepts, but mature AI platforms for organizations that take their business continuity seriously. Job description Build the AI environments that organizations can actually use Many AI roles stop at a model, an experiment, or a demo. At ITQ, the work actually begins after that. We build the environments in which AI can run securely, scalably, and manageably. Not isolated proof-of-concepts, but mature AI platforms for organizations that take their data, security, and continuity seriously. Think of environments for LLMs, model training, inference, and governance, designed for production. Organization At ITQ, we're building an AI capability that's growing rapidly and becoming increasingly sophisticated. We combine technologies like OpenShift AI, SUSE AI, and VMware Private AI Services into a single Private AI approach, with a focus on sovereignty, governance, and operational control. You're joining at a time when AI is still in full flux, so you'll not only be contributing but also helping to shape how we move forward-in terms of content, technology, and as a team. The Role As an AI Platform Engineer, you'll work on the technical foundation for serious AI applications. You won't be working on a single model, use case, or internal product. Instead, you'll build diverse AI environments across multiple sectors, each with unique requirements for security, compliance, scalability, and governance. You'll ensure that AI doesn't remain stuck at the idea stage but is implemented in environments ready for real-world use. You design, build, and manage infrastructure for AI and machine learning workloads. You work on Kubernetes-based environments for training, deployment, runtime, and operations. In doing so, you use tools such as Kubeflow, MLflow, and ClearML, a...