Customer Engineer, AI/ML, Cloud (Hebrew)

When leading companies choose our company Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use our company Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales our companys by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to our company Cloud products.
As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate our company Cloud to our customers. You will help prospective and existing customers and partners understand the power of our company Cloud, develop creative cloud solutions and architectures

דרישות:

Minimum qualifications:
Bachelor's degree or equivalent practical experience.
6 years of experience with cloud native architecture in a customer-facing or support role.
Experience with Machine Learning model development and deployment.
Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Ability to communicate in Hebrew fluently as this is a customer-facing role that requires interactions with local stakeholders.
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 da