Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• Experience building or leveraging machine learning solutions and developing applications utilizing AI frameworks and methods.
• Experience in performing technical presentations or public speaking.

Preferred qualifications:

• Experience with contact center technologies and platforms (e.g. CCAI) and building conversational applications.
• Experience with Document and Image AI.
• Experience with Build and Use AI (ML templates, deep learning, custom ML).
• Experience in coding, using either Java, C , or Python

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 engineered 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 an Enterprise Artificial Intelligence/Machine Learning (AI/ML) Customer Engineer, you will contribute experience and thought leadership to support Google Cloud Sales teams and drive vision, mission, and strategy around cloud AI/ML solutions that aid in a customer's migration and transformation to Google Cloud.

You'll meet with customers to facilitate business transformation, success patterns, and establish an architectural blueprint as the foundation for migration to Google Cloud. You will travel to customer sites and events up to 40% of the time.

In this role, you'll identify and assess customer AI/ML opportunities to uncover cloud solutions to recommend, plan for, and address core market opportunities and use cases. Finally, you will enable customers, partners and field teams on the best way to position AI/ML solutions on Google Cloud, explain technical features, and problem-solve potential roadblocks.

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

• Help prospective customers and partners understand the power of Google Cloud, explain technical features, help customers design architectures, and problem-solve any potential roadblocks.
• Influence the strategy for Google Cloud AI/ML by advocating for enterprise customer requirement and needs.
• Demonstrate the business value of Google Cloud AI/ML solutions that meet, enhance and innovate for our enterprise customers.
• Travel to customer sites and events up to 40% of the time.