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Google Cloud customers need guidance on implementing machine learning solutions to transform and evolve their business, and the company is looking to solve this problem by hiring a Cloud AI Developer to design and implement machine learning solutions for customer use cases.

Requirements

• 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, Java, Go, C or C++) including data structures, algorithms, and software design
• Experience working with recommendation engines, data pipelines, or distributed machine learning
• Experience with deep learning frameworks (e.g., XGBoost)
• Understanding of the auxiliary practical concerns in production machine learning systems
• 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, Flume)

Responsibilities

• Become a trusted technical advisor to customers and solve complex machine learning tests
• Coach customers on the practical tests in machine learning systems: 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 DataFlow, and Vertex AI
• Deploy solutions and deliver workshops to educate and empower customers
• Work closely with Product Management and Product Engineering to build and constantly drive excellence in our products

Other

• Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities
• Bachelor's degree in Computer Science or equivalent practical experience
• 6 years of experience building machine learning solutions and working with technical customers
• Ability to work with customers to identify opportunities to apply machine learning in their business
• Ability to work closely with Product Management and Product Engineering to build and constantly drive excellence in our products