本文发表在 rolia.net 枫下论坛you will work hand-in-hand with technical Sales teams as a machine learning subject matter expert to differentiate Google Cloud to our customers. You will help prospective customers and partners understand the power of Google Cloud, explaining technical features, helping customers design architectures, and problem-solving any potential roadblocks. You will also have the opportunity to help customers to leverage specialized Machine Learning hardware developed by Google, called Tensor Processing Unit (TPU). The TPU is Google’s most advanced ML technology and in this role you will work hand-in-hand with customers and product development to shape the future of the platform.
Google Cloud helps millions of employees and organizations empower their employees, serve their customers, and build what’s next for their business – all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. And our teams are dedicated to helping our customers – developers, small and large businesses, educational institutions and government agencies – see the benefits of our technology come to life.
Responsibilities:
Work with the team to identify and qualify business opportunities, understand key customer technical objections and develop the strategy to resolve technical blockers.
Provide in-depth machine learning expertise to support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
Work hands-on with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
Potentially travel to customer sites, conferences, and other related events as required.
Minimum qualifications:
BA/BS degree in Computer Science or equivalent practical experience.
Experience serving in the capacity of a technical sales engineer in a cloud computing environment or equivalent experience in a customer facing role (including working as a member of a professional services or systems engineering team).
Experience with big data and machine learning frameworks such as Tensorflow, Theano or Caffe.
Experience in numerical programming frameworks such as Python or Matlab
Effective presentation skills, with the ability to deliver a technical pitch.
Preferred qualifications:
Master's degree in computer science or other technical field.
Experience in and understanding of data and information management - especially as it relates to big data trends and issues within businesses.
Experience with building machine learning solutions and leveraging specific machine learning architectures (deep learning, LSTM, convolutional networks, etc.)
Experience with compute infrastructure and networking concepts including: routing, VPNs, load balancers, and firewalls.
Experience architecting and developing software or infrastructure for scalable, distributed systems.
Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.更多精彩文章及讨论，请光临枫下论坛 rolia.net
Google Cloud helps millions of employees and organizations empower their employees, serve their customers, and build what’s next for their business – all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. And our teams are dedicated to helping our customers – developers, small and large businesses, educational institutions and government agencies – see the benefits of our technology come to life.
Responsibilities:
Work with the team to identify and qualify business opportunities, understand key customer technical objections and develop the strategy to resolve technical blockers.
Provide in-depth machine learning expertise to support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
Work hands-on with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
Potentially travel to customer sites, conferences, and other related events as required.
Minimum qualifications:
BA/BS degree in Computer Science or equivalent practical experience.
Experience serving in the capacity of a technical sales engineer in a cloud computing environment or equivalent experience in a customer facing role (including working as a member of a professional services or systems engineering team).
Experience with big data and machine learning frameworks such as Tensorflow, Theano or Caffe.
Experience in numerical programming frameworks such as Python or Matlab
Effective presentation skills, with the ability to deliver a technical pitch.
Preferred qualifications:
Master's degree in computer science or other technical field.
Experience in and understanding of data and information management - especially as it relates to big data trends and issues within businesses.
Experience with building machine learning solutions and leveraging specific machine learning architectures (deep learning, LSTM, convolutional networks, etc.)
Experience with compute infrastructure and networking concepts including: routing, VPNs, load balancers, and firewalls.
Experience architecting and developing software or infrastructure for scalable, distributed systems.
Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.更多精彩文章及讨论，请光临枫下论坛 rolia.net