Functiebeschrijving
Veldhoven
Senior
40 uur per week
Startdatum op 3 augustus
Interim opdracht
4 Uur geleden
ASML AI Infra engineer
AI Platform Engineering, MLOps & Cloud Infrastructure
Location: Veldhoven, 2 days per week on site
Hours per week: 40
Freelance (ZZP): Yes
Role Description
As AI Infrastructure Engineer within the CDO AI Services team, you design, build, and maintain the infrastructure that powers AI driven solutions across the organization. You are responsible for the scalability, reliability, security, and cost efficiency of a modern AI platform running on Azure, GCP, or Databricks, including GPU accelerated compute environments. You work at the intersection of cloud engineering, DevOps, and machine learning engineering, enabling data scientists and software developers to train, validate, deploy, and monitor models efficiently and reliably. Your work has direct impact on how fast and how reliably AI initiatives move from experiment to production across the organization. You collaborate closely with software developers, data scientists, and other stakeholders to translate business requirements into robust infrastructure capabilities, and you drive automation, observability, and best practices across the platform. This is a senior, hands on role in a complex, high scale environment where ownership and proactivity are essential.
Responsibilities - Design, build, and maintain scalable and robust AI platform infrastructure solutions. - Architect and manage cloud native infrastructure on Azure, GCP, or Databricks. - Design solutions leveraging cloud native services including compute, storage, networking, serverless, and managed AI services. - Build and maintain ML pipelines for data ingestion, training, evaluation, and deployment. - Implement and manage Infrastructure as Code using Terraform or Ansible. - Design and maintain CI/CD pipelines for infrastructure and ML workloads. - Integrate and support tools such as MLflow, Ku...