Software Asset Management Specialist | Regional LAC RoleAbout the RoleJoin WSP's integral Software Asset Management team and contribute to the mjob:The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive.
We help customers transform and evolve their business through the use of Google's global network, web‐scale data centers, and software infrastructure.As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI.
You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers.
Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.In this role, you will be the Google Engineer working with Google's largest and most ambitious Cloud customers.
Together with the team, you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.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:Be a trusted technical advisor to customers and solve complex machine learning challenges.Coach customers on the practical challenges in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models.Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.Create and deliver best practice recommendations, tutorials, blog articles, and sample code.Travel up to 30% in‐region for meetings, technical reviews, and onsite delivery activities.Google is proud to be an equal opportunity and affirmative action employer.
We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‐to‐be, criminal histories consistent with legal requirements, or any other basis protected by law.
See also Google's EEO Policy.
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