Google
Cloud Developer I, AI/ML, Professional Services, Google Cloud
Google, Austin, Texas, us, 78716
Overview
Cloud Developer I, AI/ML, Professional Services, Google Cloud — Google Join to apply for the
Cloud Developer I, AI/ML, Professional Services, Google Cloud
role at
Google . The application window will be open until at least September 25, 2025. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Austin, TX, USA; Toronto, ON, Canada; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA . Location and salary information are provided for guidance; details may vary by location. Compensation for the US base salary range is listed with bonus, equity, and benefits described separately. Google Cloud Consulting Professional Services helps customers transform their cloud journeys using Google’s technology, global network, and data centers. Responsibilities
Be a trusted technical advisor to customers and solve machine learning challenges. Coach customers on practical challenges 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% in-region for meetings, technical reviews, and onsite delivery activities. Minimum qualifications
Bachelor's degree in Computer Science or equivalent practical experience. 3 years of experience building machine learning solutions and working with technical customers. Experience designing cloud enterprise solutions and taking 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 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 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. 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. You will work closely with Product Management and Product Development to build and constantly drive excellence in our products. You will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and 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. Compensation
The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Ranges vary by role, level, and location. Your recruiter can share the specific salary range for your preferred location during the hiring process. Compensation details listed reflect base salary only and do not include bonus, equity, or benefits. Equal Opportunity
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 Google's EEO Policy and EEO is the Law. If you need accommodations, please let us know by completing our Accommodations for Applicants form.
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Cloud Developer I, AI/ML, Professional Services, Google Cloud — Google Join to apply for the
Cloud Developer I, AI/ML, Professional Services, Google Cloud
role at
Google . The application window will be open until at least September 25, 2025. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Austin, TX, USA; Toronto, ON, Canada; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA . Location and salary information are provided for guidance; details may vary by location. Compensation for the US base salary range is listed with bonus, equity, and benefits described separately. Google Cloud Consulting Professional Services helps customers transform their cloud journeys using Google’s technology, global network, and data centers. Responsibilities
Be a trusted technical advisor to customers and solve machine learning challenges. Coach customers on practical challenges 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% in-region for meetings, technical reviews, and onsite delivery activities. Minimum qualifications
Bachelor's degree in Computer Science or equivalent practical experience. 3 years of experience building machine learning solutions and working with technical customers. Experience designing cloud enterprise solutions and taking 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 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 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. 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. You will work closely with Product Management and Product Development to build and constantly drive excellence in our products. You will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and 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. Compensation
The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Ranges vary by role, level, and location. Your recruiter can share the specific salary range for your preferred location during the hiring process. Compensation details listed reflect base salary only and do not include bonus, equity, or benefits. Equal Opportunity
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 Google's EEO Policy and EEO is the Law. If you need accommodations, please let us know by completing our Accommodations for Applicants form.
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