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 engaging with, and presenting to, technical stakeholders and executive leaders.
• 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.

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, Long Short-Term Memory (LSTM), convolutional networks).
• Experience in developing software or infrastructure for scalable, distributed systems.
• Experience in data and information management relating to big data trends and issues within businesses.
• 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.
• 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.
  Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form