AI Developer, Professional Services Organization, Google Cloud Consulting

Google • Boulder, CO • 8h ago

For US Applicants Only:

The application window will be open until at least August 31, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.

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

Experience designing cloud enterprise solutions and supporting customer projects to completion.

Preferred qualifications:

Experience working with recommendation engines, data pipelines, or distributed machine learning.

Experience with deep learning frameworks (e.g. Tensorflow, pyTorch, XGBoost).

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.

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 Developer, 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. Additionally, you will work closely with product management and product developing teams to build and constantly drive excellence in our products.

In this role, you will work with Google's largest and most ambitious Cloud customers. You will support customer implementation of Google Cloud products through such as 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.

For US Applicants 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 benefits at Google .

Responsibilities:

Be a trusted technical advisor to customers and solve complex machine learning issues.

Coach customers on the practical issues in machine learning systems such as 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% of the time for in-region meetings, technical reviews, and onsite delivery activities.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

Google

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