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Customer Engineer II, AI / ML, Retail, Google Cloud

Customer Engineer II, AI / ML, Retail, Google Cloud

Google Inc.Austin, TX, US
1 day ago
Job type
  • Full-time
Job description

Google is seeking a Customer Engineer to partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI / ML) to differentiate Google Cloud to our customers.

The ideal candidate will have a Bachelor's degree or equivalent practical experience, 6 years of experience with cloud native architecture in a customer-facing or support role, and experience with frameworks for deep learning and machine learning APIs.

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 needed, acting as a public advocate for Google Cloud.

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 frameworks for deep learning and 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, a technical field, or equivalent practical experience.
  • Experience in building machine learning solutions and leveraging specific machine learning architectures.
  • 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.
  • Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud / IT technology space.
  • Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity / expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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