ML Infrastructure Platform Engineer (Kubernetes + GPUs)

CuspAI; Amsterdam; Presencial; EUR 110 000 - 140 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

28 days holiday

Parental leave

Professional development

Impactful work

Resumo da oferta

CuspAI seeks a Platform Engineer to build and maintain the ML infrastructure platform that powers our research teams. You will design a cloud-native platform on Kubernetes, enable scalable model training and deployment, and drive robust CI/CD pipelines and automation.

You will collaborate with ML researchers, chemists, and software engineers to ensure reliable, scalable, and cost-efficient infrastructure that accelerates materials discovery and AI-powered experiments.

Qualificações

• Seasoned engineer with deep expertise in ML infrastructure (not model development).
• Experience building ML infra on Kubernetes and multi-clouds (AWS, GCP).
• Strong Python and/or Go for infrastructure automation, not just scripting.
• Expert-level IaC using Terraform, Helm, Kapitan and GitOps workflows.

Responsabilidades

• Design and implement a cloud-native ML infrastructure platform on Kubernetes.
• Own CI/CD pipelines, model registries, experiment tracking and deployment automation.

Conhecimentos

Kubernetes

Python

Terraform

Kapitan

GitOps

CI/CD

Multi-cloud

GPU clusters

DevOps

MLOps

Ferramentas

Terraform

Helm

Kapitan

GitOps tooling

Descrição da oferta de emprego

CuspAI seeks a Platform Engineer to build and maintain the ML infrastructure platform that powers our research teams. You will design a cloud-native platform on Kubernetes, enable scalable model training and deployment, and drive robust CI/CD pipelines and automation.

You will collaborate with ML researchers, chemists, and software engineers to ensure reliable, scalable, and cost-efficient infrastructure that accelerates materials discovery and AI-powered experiments.