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 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.