Bachelor's degree or equivalent practical experience.
10 years of experience in a customer-facing role in the enterprise technology space.
Experience with machine learning or artificial intelligence concepts or technology, including developing go-to-market strategies for AI solutions.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Experience with High Performance Computing, implementing shared file systems such as Gluster, batch scheduling and workload management.
Preferred qualifications:
Experience with core infrastructure service capabilities including compute and accelerators for AI/ML workloads, specifically HPC (High performance computing).
Experience with orchestration, scheduling and provisioning of resources to support workloads at scale.
Experience with automation frameworks and tools to accelerate adoption, consistency and auditability.
Experience with AI/ML related frameworks to execute customer use cases across training to inference.
Experience architecting core cloud services, compute, storage, and networking to support customer use cases and requirements.