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

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably.
$142,000 - $211,000
Machine Learning
Mid-Level Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cloud
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Description For Cloud Engineer, AI/ML, Professional Services, Google Cloud

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.

In this role, you are the Google Engineer working with Google's largest and most ambitious Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.

Responsibilities:

  • 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% for in-region for meetings, technical reviews, and onsite delivery activities.

The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location.

Last updated 8 months ago

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

  • Design and implement machine learning solutions for customer use cases
  • Work with customers to identify opportunities to apply machine learning in their business
  • Travel to customer sites to deploy solutions and deliver workshops
  • Work closely with Product Management and Product Engineering
  • Support customer implementation of Google Cloud products
  • 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 (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

Medical Insurance
  • Bonus
  • Equity
  • Medical Insurance

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