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The Google Cloud team is dedicated to assisting companies, schools, and government entities in transitioning to Google products while providing ongoing support throughout the process. As a Machine Learning Solutions Engineer, you will play a pivotal role in this mission by focusing on the delivery, creation, and maintenance of cutting-edge Machine Learning and Generative AI content. Your work will involve collaborating with a cross-functional team of web developers and systems administrators, as well as engaging with a diverse range of regional and international customers. Building strong relationships with these customers is essential for driving growth in Google Cloud's business and enabling innovation across various industries. In this role, you will be responsible for owning the success of each Machine Learning Advanced Solutions Lab experience. This includes delivering high-quality content, identifying Machine Learning experts within Google to support specific sessions, and continuously enhancing the curriculum based on feedback and market needs. You will lead and support customers' Machine Learning projects from the initial project framing stage through to implementation in the Advanced Solutions Lab. Additionally, you will design AI/ML curriculum materials in collaboration with your team and AI/ML experts, ensuring that the content is relevant and engaging for users of all levels. Staying informed about the latest developments in Machine Learning and networking within the Google Cloud ML research community will be crucial for providing participants with up-to-date knowledge and unique opportunities for interactive engagements with Google ML experts. As a subject matter expert (SME) in Machine Learning, you will also support other ML activities within the Google Cloud Consulting team, contributing to the overall success of Google Cloud's initiatives in this rapidly evolving field.
