Customer Solutions Engineer, AI/ML, Google Cloud

Overview Customer Solutions Engineer, AI/ML, Google Cloud (English, Mandarin)Responsibilities Coach customers on tests in ML systems like feature extraction and definition, data validation, monitoring, and features and models management. Work on Machine Learning (ML) deployments to resolve issues and achieve production readiness, availability and partnering with product and engineering teams to improve products based on customer feedback. Manage customer problems through diagnosis, resolution, documentation, or implementation of investigation tools to increase productivity for customer issues. Triage product or system issues, debug/track/resolve by analyzing issue sources and impact on hardware, network, or service operations and quality, and create best practice recommendations, tutorials, blog articles, and sample code. Participate in rotating on-call schedules including during nights, weekends and holidays to ensure prompt and proper resolution of customer-impacting technical tests, and travel up to 15% in-region for meetings and onsite delivery activities. Qualifications Bachelor\'s degree or equivalent practical experience. 6 years of experience in building machine learning solutions and working with technical customers. Experience with coding in general purpose languages (e.g., Python, Java, C++) including data structures and algorithms, and designing cloud enterprise solutions, and supporting customer projects to completion. Experience in testing, maintaining, or launching software products, including software design and architecture. Ability to communicate in English and Mandarin to support client relationship management in this region. Preferred qualifications Experience in working with recommendation engines, data pipelines, or distributed machine learning. Experience with deep learning frameworks (e.g., Tensorflow, pyTorch, XGBoost). Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform (ETL/ ELT) and investigative tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Knowledge of the auxiliary queries in machine learning systems. About the job In this role, you will provide technical guidance to customers adopting Google Cloud Platform (GCP) services. You will be providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, etc. You will provide prescriptive guidance in ensuring that customers receive the quality experience in migrating, building, modernizing, and maintaining applications in GCP. You will work with Product Management and Product Engineering to drive excellence in Google Cloud products and features. You will be a part of a global team that provides support to help customers make the switch to Google Cloud. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation and coding/scripting. You will make the products easier to adopt and use by making improvements to the product, tools, processes and documentation. 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 Coach customers on tests in ML systems like feature extraction and definition, data validation, monitoring, and features and models management. Work on Machine Learning (ML) deployments to resolve issues and achieve production readiness, availability and partnering with product and engineering teams to improve products based on customer feedback. Manage customer problems through diagnosis, resolution, documentation, or implementation of investigation tools to increase productivity for customer issues. Triage product or system issues, debug/track/resolve by analyzing issue sources and impact on hardware, network, or service operations and quality, and create best practice recommendations, tutorials, blog articles, and sample code. Participate in rotating on-call schedules including during nights, weekends and holidays to ensure prompt and proper resolution of customer-impacting technical tests, and travel up to 15% in-region for meetings 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 , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr