Minimum qualifications:
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
- 3 years of experience building machine learning solutions and working with technical customers.
- Experience designing cloud enterprise solutions and supporting customer projects to completion.
- Experience coding in one or more general purpose languages (e.g., Python, Scala, R, etc.) including data structures, algorithms, and software design.
- Ability to communicate in Spanish and English fluently to support client relationship management in this region.
Preferred qualifications:
- Experience working with recommendation engines, data pipelines, or distributed machine learning.
- Experience in software development, professional services, solution engineering and technical consulting, including expertise in architecting and rolling out new technology and solution initiatives.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g. Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
- Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
- Excellent customer-facing communication and listening skills.
About the job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.
In this role, you are the Google Engineer working with Google's largest and most motivated Cloud customers. You will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring etc.
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
- Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
- Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities as needed.
- Deliver effective big data and machine learning solutions and solve technical customer issues.
- Act as a trusted technical advisor to Google’s tactical customers.
- Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.