Cloud Engineer, AI/ML, Professional Services, Google Cloud

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology.
$171,000 - $257,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

Description For Cloud Engineer, AI/ML, Professional Services, Google Cloud

Google Cloud Professional Services is seeking a Cloud AI Engineer to help guide customers through their cloud transformation journey. This role combines deep machine learning expertise with customer-facing consulting work. You'll design and implement ML solutions using Google's cutting-edge products like TensorFlow, DataFlow, and Vertex AI. The position requires both technical excellence in ML/AI and strong communication skills to work directly with customers.

As a Cloud AI Engineer, you'll be responsible for identifying ML opportunities in customer businesses, deploying solutions, and conducting educational workshops. You'll work closely with product teams to drive excellence and support customers through architecture guidance, best practices, data migration, and implementation. The role involves up to 30% travel for onsite customer engagement.

The ideal candidate brings 8+ years of experience in both cloud solutions and machine learning, with strong coding skills in languages like Python, Java, or Go. You should be comfortable with deep learning frameworks, data warehousing concepts, and production ML systems. This is an opportunity to shape the future of businesses through Google's global network and infrastructure while working with cutting-edge AI/ML technologies.

Google Cloud serves customers in over 200 countries, offering enterprise-grade solutions that leverage Google's cutting-edge technology. The role offers competitive compensation ($171,000-$257,000 base salary plus bonus and equity) and the chance to work with industry-leading AI/ML technologies while helping customers solve their most critical business problems.

Last updated 3 months ago

Responsibilities For Cloud Engineer, AI/ML, Professional Services, Google Cloud

  • Be a trusted technical advisor to customers and solve complex machine learning issues
  • Coach customers on practical issues 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% of the time in the region for meetings, technical reviews, and onsite delivery activities

Requirements For Cloud Engineer, AI/ML, Professional Services, Google Cloud

Python
Java
Go
  • Bachelor's degree in Computer Science or equivalent practical experience
  • 8 years of experience designing cloud enterprise solutions and supporting customer projects to completion
  • 8 years of experience building machine learning solutions and working with technical customers
  • Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design

Benefits For Cloud Engineer, AI/ML, Professional Services, Google Cloud

  • bonus
  • equity
  • benefits

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