Customer Engineer, Ai/ml, Google Cloud
hace 1 semana
**Minimum qualifications**:- Bachelor's degree or equivalent practical experience.- 4 years of experience with cloud native architecture in a customer-facing or support role.- Experience with Machine Learning (ML) model development and deployment, as well as experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.) and using ML Application programming interfaces (API).- Experience in engaging with, and presenting to, technical stakeholders and executive leaders.- This is a customer-facing role that requires interactions in English and Spanish with local stakeholders.**Preferred qualifications**:- Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.- Experience in building ML solutions and leveraging specific ML 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 jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.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**:- Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.- Share in-depth AI/ML expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions which impact customer adoption to Google Cloud.- Work with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.- Travel to customer sites, conferences, and other related events as required, act 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.
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Customer Engineer, Ai/ml, Google Cloud
hace 1 semana
Ciudad de México Google A tiempo completo**Minimum qualifications**: - Bachelor's degree or equivalent practical experience. - 4 years of experience with cloud native architecture in a customer-facing or support role. - Experience with Machine Learning (ML) model development and deployment, as well as experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.) and using...
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Cloud Consultant, Ai/ml, Google Cloud
hace 3 semanas
Ciudad de México Google A tiempo completo**Minimum qualifications**:- Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience.- 3 years of experience managing projects and delivering technical solutions.- Experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, computer...
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Customer Engineer, Ai/ml Technical Sales, Google Cloud
hace 3 semanas
Ciudad de México Google A tiempo completo**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 with Machine Learning model development and deployment.- Experience with frameworks for deep learning (e.g. PyTorch, TensorFlow, Jax, Ray, etc.) and using machine learning...
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Customer Engineer, Ai/ml Technical Sales, Google Cloud
hace 3 semanas
Ciudad de México Google A tiempo completo**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 with Machine Learning model development and deployment.- Experience with frameworks for deep learning (e.g. PyTorch, TensorFlow, Jax, Ray, etc.) and using machine learning...
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Cloud Technical Solutions Engineer, Data Ai/ml
hace 2 días
Ciudad de México Google A tiempo completo**Minimum qualifications**: - Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience. - Experience programming or debugging code in one or more of the following: Python, Java, C, C++,.NET, Shell, Perl, JavaScript. - Experience with ML frameworks (e.g., TensorFlow, Pytorch and Scikit-learn). - Experience working with...
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Cloud Technical Solutions Engineer, Data Ai/ml
hace 7 horas
Ciudad de México Google A tiempo completo**Minimum qualifications**:- Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.- Experience programming or debugging code in one or more of the following: Python, Java, C, C++,.NET, Shell, Perl, JavaScript.- Experience with ML frameworks (e.g., TensorFlow, Pytorch and Scikit-learn).- Experience working with...
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Ciudad de México Google A tiempo completo**Minimum qualifications**:- Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience.- 3 years of experience managing projects and delivering technical solutions.- Experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, computer...
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Customer Engineer Iii, Applied Ai, Google Cloud
hace 1 semana
Ciudad de México Google A tiempo completo**Minimum qualifications**:- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.- 10 years of experience with cloud native architecture in a customer-facing or support role.- 3 years of experience in Conversational AI technology.- Experience engaging with, and presenting to, technical stakeholders and...
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Ai Cloud Engineer, Global Services Delivery, Google
hace 3 semanas
Ciudad de México Google A tiempo completo**Minimum qualifications**:- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.- 2 years of experience building machine learning (ML) solutions.- Experience coding in one or more languages (e.g., Python, Scala, Java, Go, or similar), data structures, algorithms, and software design.- Experience...
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Cloud Consultant Associate, Ai/ml, Professional Services
hace 3 semanas
Ciudad de México Google A tiempo completo**Minimum qualifications**:- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.- Experience with managing projects and delivering technical solutions.- Experience with technical client service (e.g. consulting).- Experience in one or more discipline areas: Machine Learning (ML), recommendation systems,...