Senior Customer Engineer, Machine Learning, Google Cloud

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

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

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 10 years of experience as a sales engineer or technical consultant in a cloud computing environment or customer-facing role.
  • Experience in virtualization or cloud native architectures in a customer-facing or support role.
  • Experience with Big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB).

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.
  • Provide machine learning expertise to support the technical relationship with Google’s customers, including product and solution briefings and proof-of-concept work. Partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
  • Work with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
  • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution using best practices on Google Cloud.

APPLY

 

Sorry! This job has expired.