Cloud AI Developer, Google Cloud Consulting, PSO
@ Google

Austin, Texas, United States
On Site
Posted 4 days ago

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Job Details

Overview

The Cloud AI Developer role at Google involves designing and implementing machine learning solutions for customer use cases. You will leverage core Google products including DataFlow and Vertex AI, work directly with customers, and support large-scale cloud projects from inception to production.

Minimum Qualifications

  • 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 languages such as Python, Java, Go, C or C++.

Preferred Qualifications

  • Experience with recommendation engines, data pipelines, or distributed machine learning.
  • Experience with deep learning frameworks like XGBoost.
  • Understanding of production machine learning systems and ancillary concerns.
  • Knowledge of data warehousing concepts and related technologies like Apache Beam, Hadoop, Spark, Pig, Hive, Flume.

About the Role

The Google Cloud Consulting Professional Services team guides customers through their cloud journey, transforming their business with Google’s technology. As a Cloud AI Developer, you will:

  • Design and implement ML solutions customized for customers.
  • Advise on architecture, best practices, and production deployment.
  • Conduct workshops and travel up to 30% for onsite client engagements.
  • Collaborate with Product Management and Engineering teams to continually enhance products.

Compensation

The US base salary range for this full-time role is $147,000-$216,000 plus bonus, equity, and comprehensive benefits. Compensation details reflect base salary only. Additional factors such as work location, skills, experience, and education determine final pay.

Key Skills/Competency

  • Machine Learning
  • Cloud Computing
  • Customer Engagement
  • Architecture
  • Python
  • DataFlow
  • Vertex AI
  • Consulting
  • Workshops
  • Production Deployment
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How to Get Hired at Google

🎯 Tips for Getting Hired

  • Customize your resume: Highlight machine learning and cloud experience.
  • Research Google's culture: Understand their mission and innovations.
  • Showcase technical projects: Detail ML solutions and deployments.
  • Prepare for interviews: Study system design and customer scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review machine learning frameworks.
Practice cloud architecture design.
Code in Python, Java, Go, C/C++.
Study DataFlow and Vertex AI documentation.

Behavioral Questions

Describe customer problem-solving experiences.
Explain handling tight project deadlines.
Discuss teamwork in technical projects.
Share experience with client workshops.

Frequently Asked Questions