Cloud Developer II, AI/ML, Professional Services

1 Day ago • 6 Years + • Artificial Intelligence • $147,000 PA - $216,000 PA

Job Summary

Job Description

As a Cloud Developer II, AI/ML, you'll design and implement machine learning solutions for Google Cloud customers, leveraging TensorFlow, DataFlow, and Vertex AI. You'll collaborate with clients to identify ML opportunities, deploy solutions, and conduct workshops. Responsibilities include acting as a technical advisor, coaching customers on practical ML aspects (feature engineering, data validation, monitoring), delivering tailored solutions, creating best-practice recommendations, and potentially traveling up to 30% for on-site work. You'll work with Google's largest Cloud customers, supporting implementation through architecture guidance, best practices, data migration, capacity planning, troubleshooting, and monitoring. The role involves close collaboration with Product Management and Engineering teams.
Must have:
  • Bachelor's degree in CS or equivalent
  • 6+ years building ML solutions
  • Cloud enterprise solution design experience
  • Experience with Python, Java, Go, C/C++
  • Customer project support to completion
Good to have:
  • Experience with deep learning frameworks (TensorFlow, PyTorch, XGBoost)
  • Experience with recommendation engines, data pipelines, or distributed ML
  • Knowledge of data warehousing concepts (Hadoop, Spark, etc.)
  • Understanding of production ML system concerns

Job Details


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 one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.

Preferred qualifications:

  • Experience with deep learning frameworks (e.g., Tensorflow, pyTorch, XGBoost).
  • Experience working with recommendation engines, data pipelines, or distributed machine learning.
  • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
  • Understanding of the auxiliary practical concerns in production machine learning systems.

About the job

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.

In this role, 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.

You will be 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, etc.

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.

For United States only:

The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Be a trusted technical advisor to customers and solve complex machine learning tests.
  • Coach customers on the practical tests 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.

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