Customer Engineer, AI/ML @ Google Cloud - Minnesota | Jobright.ai
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Google Cloud - Minnesota · 3 days ago

Customer Engineer, AI/ML

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IT Services and IT Consulting
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Comp. & Benefits

Insider Connection @Google Cloud - Minnesota

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

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, proof-of-concept work, and partner 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.
Travel to customer sites, conferences, and other related events as needed.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Sales EngineeringTechnical ConsultingCloud ComputingBig DataMachine LearningNumerical ProgrammingTensorFlowPythonMATLABVirtualizationCloud Native ArchitecturesCustomer SupportDeep LearningLSTMConvolutional NetworksSoftware DevelopmentInfrastructure DevelopmentScalabilityDistributed SystemsData ManagementCloud TechnologyProblem-SolvingAdaptability

Required

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

Preferred

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

Company

Google Cloud - Minnesota

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As one of the founding members of the Minneapolis branch for Google Cloud, I'm focused on helping the Fortune 500 in Minnesota digitally transform and innovate with the best of Google, Alphabet, and the Google Cloud Platform (GCP).
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