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Home » Google Internship – Customer Engineer, Machine Learning, Digital Native Customers In London

Google Internship – Customer Engineer, Machine Learning, Digital Native Customers In London

    Website Google

    Job Description:

    When leading companies choose Google Cloud it’s a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

    Job Responsibilities:

    • 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 successfully implement a complete solution using best practices on Google Cloud.
    • Identify and qualify business opportunities, understand key customer technical requirements or objections, and develop the strategy to resolve technical blockers.
    • Provide in-depth 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.

    Job Requirements/Qualifications:

    • Experience leveraging cloud-based machine learning solutions.
    • Passion for ML system operation approaches, conceptual related frameworks, and technical implementation approaches based on CI/CD.
    • Experience architecting and developing software or infrastructure for scalable, distributed systems.
    • Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
    • Ability to lead, inspire, and mentor others in the same area of expertise.
    • Experience directly designing, building, and operating machine learning solutions, leveraging specific machine
    • learning architectures (e.g., deep learning, convolutional networks, etc.).

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