AddressMinimum qualifications:
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 3 years of experience building Machine Learning or Data Science solutions.
- Experience with data structures, algorithms, software design, and coding in Python, Scala, R, or similar.
- Ability to travel up to 30% of the time, as required.
Preferred qualifications:
- Experience working with recommendation engines, data pipelines, distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks.
- Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives.
- Experience with core Data Science techniques.
- Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
- Excellent customer-facing communication skills.
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 engineered 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 part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Cloud Engineer, you will play a key role in ensuring that strategic customers have the best experience moving to the Google Cloud Machine Learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning.
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
- Deliver big data and machine learning solutions and solve complex technical customer issues.
- Act as a trusted technical advisor to Google’s strategic customers.
- Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with Product Managers and Engineers to influence the road-map of Google Cloud Platform.
- Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.
