A leading technology infrastructure company is looking for a Senior Solutions Engineer to help enterprise customers deploy AI/ML workloads. The position involves guiding customers through deployments, optimizing workloads, and leveraging Kubernetes and MLOps expertise. Ideal candidates are experienced in cloud environments and possess strong communication skills. A competitive benefits package and compensation will be provided.
Qualifications
3-5 years of experience building and deploying containerized workloads.
Success deploying ML frameworks on Kubernetes.
Familiarity with compute, storage, networking in cloud platforms.
Responsibilities
Lead technical onboarding and deployment of AI/ML workloads.
Architect and deploy ML workloads using Kubernetes.
Conduct workshops and live demos for customers.
Skills
Kubernetes expertise
MLOps deployment experience
Cloud infrastructure knowledge
Customer-facing technical confidence
Linux and CLI proficiency
Collaborative energy
Tools
Helm
Terraform
Docker
Job description
A leading technology infrastructure company is looking for a Senior Solutions Engineer to help enterprise customers deploy AI/ML workloads. The position involves guiding customers through deployments, optimizing workloads, and leveraging Kubernetes and MLOps expertise. Ideal candidates are experienced in cloud environments and possess strong communication skills. A competitive benefits package and compensation will be provided.