Strategic Cloud Engineer, GenAI

Google
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Job Description

Minimum qualifications:

  • Experience building Machine Learning or Data Science solutions.
  • Experience with AI, Machine Learning, MLops, data augmentation, hyperparameters tuning, error analysis, and performance auditing.
  • Experience writing software (e.g., Python, Java, C++) and with SQL.
  • Experience managing client technical issues, partnering with engineering, sales, and services teams.

Preferred qualifications:

  • Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
  • Experience with core Data Science techniques.
  • Experience working with GenAI, recommendation engines, data pipelines, or distributed machine learning.
  • Experience with data analytics, data visualization techniques and software, and deep learning frameworks.
  • Experience in software development, professional services, solution engineering, technical consulting, architecting, and rolling out new technology and solution initiatives.
  • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Strategic Cloud Engineer, you'll play a key role in ensuring that strategic customers have the best experience moving to the Google Cloud Machine Learning (ML)/Artificial Intelligence (AI) suite of products. You will help customers to operationalize ML models on the Google Cloud Platform (GCP) and use AI driven solutions available on GCP.

In this role, you will work on migrations and transformational projects, to optimize for scale and troubleshoot potential issues. You'll design and implement solutions for customer use cases, leveraging core Google products, working with customers to identify opportunities to transform their business with AI, traveling to customer sites to deploy solutions, and delivering workshops designed to educate and empowering customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. 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 effective AI, big data, and machine learning solutions, and solve complex technical customer challenges.
  • Serve as a trusted technical advisor to Google’s strategic customers.
  • Identify new product features and feature gaps, provide guidance on existing product challenges, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.
  • Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.

Company Info.

Google

Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
    139,995
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
  • Jobs Posted

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