Customer Engineer III, AI/ML, Central, Google Cloud

Job Category: Engineer
Job Type: Full Time
Job Location: United States
Company Name: Google

We are looking for a Customer Engineer III to join our team

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience as a sales engineer or technical consultant in a cloud computing environment or in a customer-facing role.
  • Experience in virtualization or cloud native architectures in a support role.
  • Experience with big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB).
  • Experience using an AI platform to build, deploy, and manage machine learning models.

Preferred qualifications:

  • Master’s degree in Computer Science or a related technical field.
  • Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
  • Experience 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.

Responsibilities

  • Work with the team to identify and qualify business opportunities, understand key customer technical objections and develop the strategy to resolve technical blockers.
  • Work with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
  • Recommend integration strategies, enterprise architectures, platforms and application infrastructure to implement a complete solution using best practices on Google Cloud.
  • Travel to customer sites, conferences, and other related events as needed.
  • Provide in-depth machine learning expertise to support the technical relationship with Google’s customers including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.

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