Senior+ Solutions Engineer (Dublin)
Core
Guide strategic enterprise customers through end-to-end deployment and optimization of AI/ML workloads on Crusoe's high-performance GPU infrastructure.
Role type
Senior Solutions Engineer (AI Infrastructure)
Builds
Production AI/ML workloads on Crusoe's GPU stack
Domain
AI Infrastructure / Cloud Computing / Energy
Deliverable
production ML models
Required skills
Kubernetes, MLOps, Ray, Kubeflow, Terraform, Docker, Linux CLI, multi-cloud migration
Preferred skills
Slurm, distributed ML orchestration, content creation
Technologies
Kubernetes, Ray, Kubeflow, Terraform, Docker, AWS, Azure, GCP
Responsibilities
Lead technical onboarding and deployment of complex AI/ML workloads; Architect and deploy ML workloads using Kubernetes-based stacks; Deploy and optimize AI/ML workloads directly on Crusoe infrastructure; Help customers migrate and adapt workloads across AWS, Azure, and GCP; Conduct workshops, live demos, and solution reviews; Relay customer feedback to internal engineering and product teams.
Seniority
Senior, hands-on IC
