Remote

AI DevOps Engineer

Engineeringfull timemid level$65k-$95k
AI ScreenedRemote B2BEU Talent Pool2 applicants
For hiring agencies & HR teams

EU engineers, ready to place with your US clients

Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.

About This Role

We're hiring an AI DevOps Engineer to build and scale the infrastructure powering our AI-first recruiting platform. You'll design cloud-native pipelines for ML model deployment, manage containerized AI workloads, and ensure reliable, high-performance infrastructure supporting our B2B SaaS product. This role bridges DevOps and ML engineering—automating model training pipelines, managing infrastructure-as-code, and optimizing resource utilization for AI workloads.

Requirements

  • Architect and maintain Kubernetes clusters for production ML workloads
  • Design CI/CD pipelines using GitHub Actions, GitLab CI, or similar tools
  • Manage infrastructure-as-code with Terraform or CloudFormation
  • Monitor and optimize containerized applications using observability tools
  • Deploy and version-control ML models in production environments
  • Strong proficiency with AWS, GCP, or Azure cloud platforms

Required Skills

KubernetesDockerCI/CD PipelinesPythonAWS/GCPInfrastructure-as-CodeML Model ServingLinux