Google
Customer Engineer II, AI/ML, Google Cloud
Google, San Francisco, California, United States, 94199
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; San Francisco, CA, USA . Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience with cloud native architecture in a customer-facing or support role. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Experience with Machine Learning model development and deployment. Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs. Preferred qualifications: Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience. Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, LSTM, convolutional networks). Experience in architecting and developing software or infrastructure for scalable, distributed systems. Experience in data and information management as it relates to big data trends and issues within businesses. Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space. About the job
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. Responsibilities
Collaborate with the team to identify and qualify business opportunities, understand key customer technical objections, and develop strategies to resolve technical blockers. Provide in-depth AI/ML expertise to support technical relationships with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud. Demonstrate and prototype Google Cloud product integrations in customer and partner environments. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement complete solutions on Google Cloud. Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
#J-18808-Ljbffr
Sunnyvale, CA, USA; San Francisco, CA, USA . Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience with cloud native architecture in a customer-facing or support role. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Experience with Machine Learning model development and deployment. Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs. Preferred qualifications: Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience. Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, LSTM, convolutional networks). Experience in architecting and developing software or infrastructure for scalable, distributed systems. Experience in data and information management as it relates to big data trends and issues within businesses. Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space. About the job
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. Responsibilities
Collaborate with the team to identify and qualify business opportunities, understand key customer technical objections, and develop strategies to resolve technical blockers. Provide in-depth AI/ML expertise to support technical relationships with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud. Demonstrate and prototype Google Cloud product integrations in customer and partner environments. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement complete solutions on Google Cloud. Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
#J-18808-Ljbffr