Customer Engineer, AI/ML (Japanese)
Job Description
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 partner with technical business teams as a data analytics subject matter expert to differentiate Google Cloud to the customers. You will help prospective and existing customers and partners to understand the power of Google Cloud, develop cloud solutions and architectures to solve their business tests, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back-end and all aspects of the data lifecycle. You will engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. 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.
Locations
- Tokyo, Japan
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
9,000,000 - 18,000,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Artificial Intelligence/Machine Learningintermediate
- Japaneseadvanced
Required Qualifications
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience (degree)
- 4 years of experience in business requirements analysis and business stakeholder management (experience)
- 4 years of experience in a customer-facing role such as technology consultant, technical architect, enterprise architect, technical business engineer, or solutions architect (experience)
- Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g., Tensor Processing Units (TPUs), Graphics Processing Units (GPUs)), model architectures (e.g., encoders, decoders, transformers), and using machine learning Application programming interfaces (APIs) (experience)
- Master's degree in Computer Science, Statistics, or a related technical field (degree)
- Experience in using natural language processing or natural language related to machine learning projects (experience)
- Experience in building machine learning solutions and leveraging machine learning architectures (e.g., deep learning, Load Shedding and Traffic Management (LSTM), convolutional networks) (experience)
- Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the cloud or IT technology environment (experience)
Responsibilities
- Share Artificial Intelligence (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 partnering with product management to prioritize solutions impacting customer adoption to Google Cloud
- Be responsible for go-to-market strategy from a technical perspective
- Unlock product gap for adoption working with the Product Engineering team
- Work with the team to identify and qualify business opportunities, understand customer technical issues, and develop the strategy to resolve technical blockers
