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Job Type
Full Time
Job Details
Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- Experience serving in the capacity of a technical Solution Architect in a cloud computing environment or a customer-facing role.
- Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, and numerical programming frameworks.
- Experience with AI products, technologies, and infrastructure.
- Ability to communicate in English and Arabic fluently to support client relationship management in this region.
- Master's degree in Computer Science or a related technical field.
- Experience with building AI and machine learning solutions, machine learning operation frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).
- Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
- Understanding of AI Models, LLMs, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.
- Understanding of responsible AI practice.
- Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
- Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
- Provide AI expertise to support the technical relationship with Google Clouds customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure.
- Support developers, creators, and enterprises to leverage APIs so they can build their own AI products in the future.
- Travel to customer sites, conferences, and other related events as needed.
About the Company
Google Inc.
Mountain View, CA, United States
Build for everyone Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university... Read more