We are looking for a Customer Engineer II to join our team
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.
Preferred qualifications:
- Master’s degree in Computer Science, Engineering, Mathematics, or a technical field.
- 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.
- Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
- Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
Responsibilities
- Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
- Share in-depth AI/ML expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
- Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.
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