Google
AI Developer, Professional Services Organization, Google Cloud Consulting
Google, Atlanta, Georgia, United States, 30383
Overview
AI Developer, Professional Services Organization, Google Cloud Consulting — Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. 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 and collaborate with product management and product development teams to drive excellence in our products. Responsibilities
Be a trusted technical advisor to customers and solve complex machine learning issues. Coach customers on practical issues in machine learning systems such as feature extraction/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. 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. 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. 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 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 $147,000-$216,000 + bonus + equity + benefits. Salaries are determined by role, level, and location. Within the range, individual pay is determined by work location and factors including job-related skills, experience, and education. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. The compensation details listed reflect base salary only and do not include bonus, equity, or benefits. Benefits and Additional Information
Learn more about benefits at Google and Google\'s EEO policies. Google is an equal opportunity employer. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. 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.
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AI Developer, Professional Services Organization, Google Cloud Consulting — Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. 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 and collaborate with product management and product development teams to drive excellence in our products. Responsibilities
Be a trusted technical advisor to customers and solve complex machine learning issues. Coach customers on practical issues in machine learning systems such as feature extraction/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. 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. 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. 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 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 $147,000-$216,000 + bonus + equity + benefits. Salaries are determined by role, level, and location. Within the range, individual pay is determined by work location and factors including job-related skills, experience, and education. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. The compensation details listed reflect base salary only and do not include bonus, equity, or benefits. Benefits and Additional Information
Learn more about benefits at Google and Google\'s EEO policies. Google is an equal opportunity employer. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. 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.
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