Cloud AI Engineer, Google Cloud (English)

• Be a trusted technical advisor to customers and solve complex machine learning challenges.
  
• Coach customers on the practical challenges 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.
  
• Travel up to 30% in-region for meetings, technical reviews, and onsite delivery activities.
  

Minimum qualifications:

• 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 with data structures, algorithms, and software design.
• Experience coding in Python.
• Ability to communicate in English fluently to collaborate with other teams.

Preferred qualifications:

• 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.
  
• Excellent customer-facing communication and listening skills with expertise in architecting solutions.

• 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 with data structures, algorithms, and software design.
• Experience coding in Python.
• Ability to communicate in English fluently to collaborate with other teams.