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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.

Requirements

• Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.
• Experience working with recommendation engines, data pipelines, or distributed machine learning.
• Experience with deep learning frameworks (e.g. Tensorflow, pyTorch, XGBoost).
• 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).
• Understanding of the auxiliary practical concerns in production machine learning systems.

Responsibilities

• Be a trusted technical advisor to customers and solve complex machine learning issues.
• Coach customers on the practical issues in machine learning systems such as feature extraction and feature definition, data validation, monitoring, and management of features and models.
• Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.
• Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
• design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI.
• work with customers to identify opportunities to apply machine learning in their business.
• support customer implementation of Google Cloud products through such as architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.

Other

• 6 years of experience building machine learning solutions and working with technical customers.
• Travel up to 30% of the time for in-region meetings, technical reviews, and onsite delivery activities.
• Bachelor's degree in Computer Science or equivalent practical experience.