Bachelor's degree or equivalent practical experience.
6 years of experience with cloud native architecture in a customer-facing or support role.
Experience in pre-sales and consulting, delivering technical presentations, and leading discovery and planning sessions with customers with defined scope and success criteria.
Experience with frameworks for deep learning (e.g. PyTorch, TensorFlow, Jax, Ray, etc.) and using machine learning APIs.
Preferred qualifications:
Experience in building and deploying data and Machine Learning (ML) pipelines with a focus on automation.
Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, LSTM, convolutional networks, etc).
Experience in understanding customer’s existing software workloads, and the ability to define a technical migration roadmap to the cloud reflecting specific customer needs.
Experience with prompt tuning and delivering successful prototypes.