Bachelor's degree or equivalent practical experience.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience with State Local Public Sector clients including state, county, local municipal agencies, and academic institutions.
Ability to travel up to 30% of the time.
Preferred qualifications:
Experience with Machine Learning model development and deployment.
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.
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.
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 emerging technologies, methodologies, and solutions in the cloud technology space.