Minimum qualifications:
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- Experience building Machine Learning or Data Science solutions, including software development in Python, Scala, or R, and experience in data structures, algorithms, and software design.
- Experience in solution engineering and experience in stakeholder management, professional services, or technical consulting.
- Experience writing code in one or more programming languages (e.g., Python, Java).
- Experience with Generative AI models and their applications.
Preferred qualifications:
- Master’s degree in Engineering, Computer Science, Business, or a related field.
- Experience in an analytical role such as business intelligence, data analytics, or statistics.
- Experience in software development, professional services, solution engineering and technical consulting, architecting and rolling out new technology and solution initiatives.
- Experience with recommendation engines, data pipelines or distributed ML, data analytics, data visualization techniques and software, and deep learning frameworks.
- Knowledge of data warehousing concepts, data warehouse technical architectures, infrastructure components, ETL/ ELT, reporting/analytic tools and environments (Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume), and of MLOps methodologies for monitoring ML models.
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 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'll 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'll work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer.
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
- Work with clients to understand their objectives and challenges, identify technical gaps, and surface opportunities for solution reuse or innovations.
- Design and implement solutions that meet client needs and are compliant with data and legal policies.
- Understand the nuances of clients within the industry and develop subject matter expertise in trending spaces.