Bachelor's degree or equivalent practical experience.
10 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.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers) and using machine learning APIs.
Experience with machine learning model development and deployment.
Experience engaging with and presenting to technical stakeholders and executive leaders.
Preferred qualifications:
Master's degree in Computer Science, Engineering, Mathematics or a technical field or equivalent practical experience.
Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, Load Shedding and Traffic Management (LSTM), convolutional networks).
Experience in architecting and developing software or infrastructure for scalable, distributed systems.
Experience in data and information management related to big data trends and issues within businesses.
Ability to work with new emerging technologies, methodologies and solutions in the cloud/IT technology space.