Cloud AI Engineer, Professional Services, Google Cloud (English)

As a Cloud AI Engineer, design and implement machine learning solutions for customer use cases, leveraging core Google products. Work with customers to identify opportunities to apply machine learning in their business and travel to customer sites to deploy solutions and deliver workshops.

Requirements

• Bachelor's degree in Computer Science or equivalent practical experience
• 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++)
• Experience with data structures, algorithms, and software design
• Ability to communicate in English fluently to collaborate with other teams
• Experience with recommendation engines, data pipelines, distributed machine learning, and deep learning frameworks
• Experience in data analytics, data visualization techniques, and core Data Science methodologies
• Experience in software development, professional services, or technical consulting for new technology initiatives
• Knowledge of data warehousing (ETL/ELT), technical architectures, and big data environments (e.g., Hadoop, Spark)
• Knowledge of cloud computing, including virtualization, multi-tenant infrastructures, and storage systems