Bachelor's degree or equivalent practical experience.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience with Machine Learning model development and deployment.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.
Preferred qualifications:
Master's degree in Computer Science, Engineering, Mathematics, or a technical field.
Experience in architecting and developing software or infrastructure for scalable, distributed systems.
Experience in data and information management as it relates to big data trends and issues within businesses.
Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.