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

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology.
$142,000 - $211,000
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cloud

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

Google Cloud's Professional Services team is seeking a Cloud AI Engineer to help guide customers through their cloud journey. In this role, you'll design and implement machine learning solutions using Google's cutting-edge products including TensorFlow, DataFlow, and Vertex AI. You'll work directly with Google's largest cloud customers, providing architecture guidance, best practices, and implementation support.

As a Cloud AI Engineer, you'll be responsible for identifying ML opportunities in customer businesses, traveling to customer sites for solution deployment, and delivering educational workshops. You'll collaborate closely with Product Management and Engineering teams to drive product excellence. The role involves being a trusted technical advisor, solving complex ML challenges, and coaching customers on practical aspects of ML systems including feature extraction, data validation, and model management.

The position offers a competitive compensation package including a base salary range of $142,000-$211,000, plus bonus, equity, and benefits. You'll be part of Google Cloud, which serves customers in over 200 countries, helping them transform their businesses through cloud technology. This role requires up to 30% travel for in-region meetings and onsite activities.

The ideal candidate will have strong experience in ML solution building, cloud enterprise solutions, and programming skills in languages like Python, Java, or Go. Knowledge of deep learning frameworks and data warehousing concepts is highly valued. This is an excellent opportunity for someone passionate about ML who wants to work with cutting-edge technology while helping customers succeed in their cloud journey.

Last updated a month ago

Responsibilities For Cloud Engineer, AI/ML, 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% for in-region 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
  • 5 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

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

Medical Insurance
Vision Insurance
Dental Insurance
Equity
  • Medical Insurance
  • Vision Insurance
  • Dental Insurance
  • Equity

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