Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
6 years of experience with cloud native architecture in a customer-facing or support role.
Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
Experience with modern software development life-cycle methodologies and tools including commonly used Continuous Integration / Continuous Deployment, container orchestration and operations.
Experience developing scalable architectures using API management, microservices frameworks, and PaaS.
Experience with Google Cloud Platform (GCP) and Vertex AI.
Ability to engage with C-level or executive business leaders and influence decisions.
Ability to create prototypes/demos and articulate this to a customer audience, while integrating with existing systems.