Cloud Developer II, AI/ML, Google Cloud
About The Position
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 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 development to build and constantly drive excellence in our products. You will work with Google's most ambitious Cloud customers. Together with the team, you will support customer implementation of Google Cloud products through: developer 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.
Requirements
- 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.
Nice To Haves
- 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
- 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.
- 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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
