Google Cloud Consulting Professional Services team guides customers through their cloud journey to help businesses thrive by transforming and evolving 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.
Requirements
- 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.
- 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 developers, 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.
Responsibilities
- Design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI.
- 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.
- Work closely with product management and product development to build and constantly drive excellence in our products.
- Support customer implementation of Google Cloud products through: developer guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.
- Act as a technical advisor to customers and solve machine learning issues.
- Coach customers on the practical issues 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 to production.
Other
- Bachelor's degree in Computer Science or equivalent practical experience.
- Travel up to 30% in-region for 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.
- If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
