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Cloud AI Engineer, Google Cloud (English)

Google· Cloud AI Engineering / Google Cloud
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Hybrid (Buenos Aires; Mexico City)Full-timePosted 1w ago

About the role

Cloud AI Engineer role advising customers, designing and implementing machine learning solutions using Google Cloud products, travel up to 30% for in-region engagements, and collaborating with Product Management and Product Engineering to continuously improve offerings.

Responsibilities

  • Be a trusted technical advisor to customers and solve complex machine learning challenges.
  • Coach customers on practical challenges in ML systems: feature extraction/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.

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.

Skills

Required:Machine learning solution designPython programmingDeep learning frameworksCloud enterprise solutions
Last updated Oct 23, 2026. Interested? Apply on the company site.

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