Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with big data, machine learning, and numerical programming frameworks (e.g TensorFlow, Pytorch, Numpy).
- Experience in virtualization or cloud native architectures in a customer-facing or support role.
Preferred qualifications:
- Master's degree in Computer Science, Engineering, or Mathematics.
- Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.).
- Experience architecting and developing software or infrastructure for scalable, distributed systems.
- Ability to learn quickly, understand, and work with emerging technologies, methodologies, and solutions in the cloud/IT technology space.
- Ability to take on multiple technical programs with executive management stakeholders and excellent organizational and analytical skills.
• *About the job**:
Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.
• *Responsibilities**:
- Identify and qualify business opportunities, understand key customer technical 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.
- Work directly with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
- Lead and drive strategic AI programs across the APAC Data Analytics and AI practice.
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
