Cloud AI Engineer IV, 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.
  
• 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 building and deploying custom ML models into production, including experience with deep learning frameworks and with designing and deploying agentic AI workflows for business process automation.
• Experience coding in Python, including data structures, algorithms, and software design.
• Ability to communicate in English fluently as this is a customer-facing role.

Preferred qualifications:

• 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.

• Bachelor's degree in Computer Science 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 building and deploying custom ML models into production, including experience with deep learning frameworks and with designing and deploying agentic AI workflows for business process automation.
• Experience coding in Python, including data structures, algorithms, and software design.
• Ability to communicate in English fluently as this is a customer-facing role.