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Cloud AI Engineer, Professional Services, Google Cloud

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging Google's cutting-edge technology.
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
6+ years of experience
AI · Enterprise SaaS · Cloud

Job Description

Google Cloud Professional Services is seeking a Cloud AI Engineer to design and implement machine learning solutions for customer use cases. This role combines technical expertise in ML/AI with customer-facing responsibilities, helping businesses transform through Google Cloud's technology stack.

The position requires deep technical knowledge in machine learning, particularly in building and deploying custom ML models into production environments. You'll work with frameworks like TensorFlow and Vertex AI, while guiding customers through their cloud journey. The role involves architecting solutions, providing best practices, and handling everything from data migration to monitoring.

As a Cloud AI Engineer, you'll serve as a trusted technical advisor, tackling complex machine learning challenges and coaching customers on practical aspects like feature extraction, data validation, and model management. You'll collaborate with Google Product teams and partners to deliver tailored solutions, while also contributing to the broader technical community through tutorials and best practices.

The ideal candidate brings 6+ years of ML solution building experience, strong programming skills in languages like Python/Java/Go, and excellent communication abilities. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with cutting-edge technology and enterprise-grade solutions.

This role offers the opportunity to shape the future of businesses through AI/ML technologies, with the backing of Google's global infrastructure. You'll need to be comfortable with up to 30% travel within your region for customer engagement. The position combines technical depth with customer impact, making it ideal for those passionate about both ML technology and helping businesses succeed.

Last updated a month ago

Responsibilities For Cloud AI Engineer, Professional Services, Google Cloud

  • Be a trusted technical advisor to customers and solve complex machine learning challenges
  • Coach customers on practical challenges in machine learning systems
  • 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

Requirements For Cloud AI Engineer, Professional Services, Google Cloud

Python
Java
Go
  • Bachelor's degree in Computer Science or equivalent practical experience
  • 6 years of 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 including data structures, algorithms, and software design
  • Experience building and deploying custom ML models into production
  • Ability to communicate in English fluently

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