Cloud AI Engineer

About the Role

The Google Cloud Platform team helps customers transform and build what\'s next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will provide exceptional technical guidance to customers adopting Google Cloud Platform (GCP) services. This includes providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide prescriptive guidance in ensuring that customers receive the best of what GCP can offer and have the best experience in migrating, building, modernizing, and maintaining applications in GCP. Additionally, you will work closely with product management and product engineering to drive excellence in Google Cloud products and features.

Key Responsibilities

• 1

  Deliver effective big data and machine learning solutions and solve technical customer issues.

• 2

  Act as a technical advisor to Google’s customers.

• 3

  Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with product managers and engineers to influence the roadmap of Google Cloud Platform.

• 4

  Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.

Requirements

• Bachelor\'s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• Experience building machine learning or data science solutions.
• Experience writing software in Python, Scala, R, or similar.
• Experience with data structures, algorithms, and software design.
• Ability to travel up to 30% of the time.

Skills Required

How The Selection Process Works

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