Practice Specialist, Generative Ai, Google Cloud
1 day ago
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 in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 6 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
**Preferred qualifications**:
- Experience with modern software development life-cycle methodologies and tools including commonly used Continuous Integration / Continuous Deployment, container orchestration and operations.
- Experience developing scalable architectures using API management, microservices frameworks, and PaaS.
- Experience with Google Cloud Platform (GCP) and Vertex AI.
- Ability to engage with C-level or executive business leaders and influence decisions.
- Ability to create prototypes/demos and articulate this to a customer audience, while integrating with existing systems.
About the job
In this role, you will work with customers and product development to shape the future of the AI platform.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**:
- Work with the team to identify and qualify business opportunities, understand customer technical objections, and develop the strategy to resolve technical blockers.
- Support the technical relationship with Google’s customers including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Create and deliver technical content (e.g., best practices, tutorials, code samples, presentations) to enable customers and internal teams to leverage Google Cloud AI infrastructure effectively.
- Travel to customer locations and represent Google Cloud at conferences, meetups, and other industry events to share knowledge, network with peers, and stay current on the latest trends.
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 alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.
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