Cloud Engineer II, AI/ML, Google Cloud

GoogleAtlanta, GA
89d$147,000 - $216,000

About The Position

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. 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. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Requirements

  • Experience with machine learning frameworks such as TensorFlow and Vertex AI.
  • Strong understanding of cloud computing concepts and Google Cloud products.
  • Ability to work with customers to identify and implement solutions.
  • Experience in data migration and capacity planning.

Nice To Haves

  • Experience in delivering workshops and training to customers.
  • Familiarity with data engineering concepts and tools.
  • Knowledge of best practices in cloud architecture.

Responsibilities

  • Design and implement machine learning solutions for customer use cases.
  • Identify opportunities to apply machine learning in customer businesses.
  • Travel to customer sites to deploy solutions and deliver workshops.
  • Work closely with Product Management and Product Engineering to enhance products.
  • Support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, and monitoring.

Benefits

  • Base salary range of $147,000-$216,000 + bonus + equity + benefits.
  • Salary determined by role, level, and location.
  • Individual pay based on work location, skills, experience, and education.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

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