Customer Engineer, Machine Learning, Digital Native Customers London, England
Job description
Minimum qualifications:
- Experience as a technical sales engineer in a cloud computing environment or in a customer-facing role.
- Experience with cloud-based machine learning solutions and architectures.
- Experience coding in programming frameworks (e.g., Python or R) and machine learning frameworks (e.g., TensorFlow, etc.).
- Experience with technical presentations and demos for decision-makers.
Preferred qualifications:
- Experience designing, building, and operating machine learning solutions, leveraging specific machine learning architectures (e.g., deep learning, convolutional networks, etc.).
- Experience architecting and developing software or infrastructure for scalable, distributed systems.
- Experience leveraging cloud-based machine learning solutions.
- Ability to learn, understand, and work with emerging technologies, methodologies, and solutions in the cloud/IT technology space.
- Ability to lead, inspire, and mentor others in the same area of expertise.
- Passion for ML system operation approaches, conceptual related frameworks, and technical implementation approaches based on CI/CD.
About the job
When 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.
In this role, you will work to introduce Google Cloud Artificial Intelligence (AI) and Machine Learning (ML) technologies to customers. You will help customers and partners understand the power of Google Cloud's leading AI/ML offering, develop creative cloud solutions, and architectures to solve their business challenges, and problem-solve any potential technical roadblocks.
Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. 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
- Identify and qualify business opportunities, understand key customer technical requirements or 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 and proof-of-concept work. Partner with Product Management to prioritize solutions impacting customer adoption to Google Cloud.
- Work 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.
