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,...
Description:Minimum qualifications:- 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, a technical field, or equivalent practical experience.
- 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.