Cloud Engineer, AI/ML, Professional Services, Google Cloud

Google Cloud Consulting Professional Services team guides customers through their cloud journey, helping businesses thrive using 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'll work with customers to identify opportunities to apply machine learning in their business, travel to customer sites to deploy solutions, and deliver workshops to educate and empower customers. You'll also work closely with Product Management and Product Engineering to drive excellence in Google's products. In this role, you are the Google Engineer working with Google's largest and most ambitious Cloud customers, supporting their implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and more.

Key Responsibilities: • Be a trusted technical advisor to customers and solve complex machine learning challenges. • Coach customers on practical challenges in machine learning systems, including feature extraction, 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% within the region for meetings, technical reviews, and onsite delivery activities.

Google Cloud accelerates organizations' digital transformation by leveraging cutting-edge technology and tools for developers. Customers in over 200 countries rely on Google Cloud as their trusted partner for growth and solving critical business problems.