Strategic Cloud Engineer, Artificial Intelligence
3 days ago
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 6 years of experience in building Machine Learning or Data Science solutions.
- Experience with writing software in Python, Scala, R.
- Experience with data structures, algorithms, and software design.
- Ability to travel up to 30% of the time as required.
- Experience in working with recommendation engines, data pipelines, or distributed machine learning with data analytics, data visualization techniques and software, and deep learning frameworks.
- Experience with Data Science techniques.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT) and reporting/investigative tools and environments.
- Knowledge of cloud computing including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
- Excellent communication skills.
The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.
In this role, you will play a key role in understanding the needs of the customers and help shape the future of businesses of all sizes use of technology to connect with customers, employees and partners.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.
Responsibilities:
- Deliver big data and machine learning solutions and solve technical customer tests.
- Serve as a trusted technical advisor to Google's customers.
- Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmaps of Google Cloud Platform.
- Deliver recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders.
- Drive Artificial Intelligence (AI) engagement with thought leadership.
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