Customer Engineer, Data Analytics and AI, Google Cloud

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

Minimum qualifications :

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with practical application and architectural considerations of AI / ML, including Machine Learning (ML) lifecycle, ML frameworks (e.g., TensorFlow, PyTorch) and MLOps principles.
• Experience in developing data warehouses, data lakes, batch / real-time event processing, streaming, data processing (ETL / ELT), data migrations, data visualization and data governance on cloud native architectures.
• Experience in conducting technical discovery, business and technical requirements and translating them into efficient and innovative technical architectures that leverage data and AI services.

Preferred qualifications :

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.

As a Customer Engineer, you will collaborate with technical sales teams as a data analytics and Artificial Intelligence expert to showcase Google Cloud's value. You will help customers and partners leverage Google Cloud by designing solutions, conducting proofs-of-concept and resolve technical issues related to data migrations and lifecycle management. You will understand customer needs, present tailored solutions and demonstrate technical and communications skills while working with a team of Googlers that fosters equal opportunities for success. 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

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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