Cloud AI Engineer, Professional Services Organization, Google Cloud (English, Portuguese)

Minimum qualifications:

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  
• 6 years of experience reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go, JavaScript) or in system design.
  
• 6 years of experience troubleshooting and advocating for customers' needs, and triaging technical issues (e.g., hardware, software, application, operational, process).
  
• 6 years of experience with 2 or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP.
  
• Ability to communicate in English and Portuguese fluently to support client relationship management in this region.
  

Preferred qualifications:

• 6 years of experience in technical consulting on supporting large enterprise customers with high service-level objective and service-level agreement requirements.
• Experience with cloud computing (i.e., certifications, internships, coursework, etc.).
  

About the job

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 design and implement Machine Learning (ML) solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex Artificial Intelligence (AI). You will work with customers to identify opportunities to apply ML in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Report and file issues against product, documentation and procedures by documenting desired behavior or steps to reproduce, and driving bugs to resolution.
  
• Suggest code-level resolutions for complex product bugs by leveraging relevant tools and effective communication to all stakeholders internally and externally.
  
• Resolve technical incidents and escalations by performing analysis utilizing relevant tools (e.g., SQL, R, Python) and leveraging custom data infrastructure or existing data models as appropriate, formulating and interpreting data to reach specific conclusions and next steps.
  
• Identify opportunities and build solutions to improve support or empower customers to solve issues by using self-service tools and documentation.