Customer Engineer, Data Analytics and Artificial Intelligencecorporate_fare Google place Melbourne VIC, Australia
AdvancedExperience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Minimum Qualifications:Bachelor's degree in computer science or equivalent practical experience.10 years of experience with cloud native architecture in a customer-facing or support role.Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, and other data concepts.Experience with Machine Learning model development and deployment frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.Experience working with, and presenting to, technical stakeholders and executive leaders.Preferred Qualifications:Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, competitive dynamics and customer buying behavior.Experience in technical sales or consulting in cloud computing, data analytics, Big Data, or AI/ML.Experience in data and information management as it relates to big data trends and issues within businesses.Experience in architecting and developing software or infrastructure for scalable, distributed systems.Experience in building Machine Learning solutions and leveraging specific Machine Learning architectures.Experience in understanding customer requirements with the ability to break down requirements and design technical architectures.About the Job:The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. 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.
As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Data, and Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners in understanding 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 in understanding the business and technical requirements, and present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.
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:
#J-18808-Ljbffr