AI Infrastructure Engineer
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
Requirements
- Design and deploy containerized AI/ML workloads using Kubernetes and Docker
- Implement infrastructure-as-code solutions with Terraform or CloudFormation
- Manage GPU clusters and optimize compute resource allocation for model training and inference
- Build and maintain CI/CD pipelines for ML model deployment and monitoring
- Develop monitoring, logging, and observability solutions for production ML systems
- Collaborate with ML engineers to optimize data pipelines and model serving architecture
- Experience with cloud platforms (AWS, GCP, or Azure) in production environments
Required Skills
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