Bachelor's degree or equivalent practical experience.
6 years of experience with cloud native architecture, including machine learning model development and deployment, in a customer-facing or support role.
Experience with big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB).
Experience in virtualization or cloud native architectures in a customer-facing or support role.
Preferred qualifications:
Master's degree in Computer Science, or a related technical field.
Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
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.
Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.