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Platform Engineer

AI
CuspAIAmsterdamOn-siteFull-time2 weeks ago

CuspAI is seeking a Platform Engineer with strong Python coding, DevOps and cloud platform expertise to build and maintain the ML infrastructure platform that powers their AI research teams. The role involves designing cloud-native Kubernetes platforms, owning the MLOps stack, scaling distributed ML training, and ensuring platform reliability. The ideal candidate has deep experience with ML workloads on Kubernetes, multi-cloud platforms, Infrastructure as Code, and GPU infrastructure.

What you'll do

  • Build the ML Infrastructure Platform: Design and implement a cloud-native platform on Kubernetes that enables researchers to easily train, evaluate, and deploy models without worrying about infrastructure complexity.
  • Own the MLOps Stack: Implement and maintain CI/CD pipelines, model registries, experiment tracking systems, and deployment automation - the full lifecycle of ML operations.
  • Scale Distributed ML Model Training: Build infrastructure to support distributed training across many GPUs, implementing solutions for data pipelines, checkpointing, and resource optimisation.

What you need

Must-have

PythonGoKubernetesAWSGCPTerraformHelmKapitan

Nice-to-have

FlytePantsSlurmPBSTritonTorchServeKServeHPC environments

Soft skills

collaborationautonomycommunicationproblem solvingmentoringadaptability
Platform EngineerML InfrastructureDevOpsMLOpsKubernetesAIMaterials ScienceCloudPythonGo