Cloud Technical Solutions Engineer, Data, AI/ML

Note: By applying to this position you will have an opportunity to share your preferred working location from the following:

Bengaluru, Karnataka, India; Pune, Maharashtra, India

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Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Math or equivalent practical experience.
• 9 years of experience in debugging code (e.g., Java, C, C++, .NET, Python, Shell, Perl, JavaScript).
• Experience in technical support, professional services, software development.
• Ability to work non-standard hours, including working weekends, holidays and on shift-based schedules.
  

Preferred qualifications:

• Experience with distributed, columnar or investigative databases or distributed data processing frameworks.
• Experience with AI/ML tools to meet business needs.
• Experience with machine learning technologies (e.g., TensorFlow), developing or training models or implementing solutions.
• Experience in data analytics, warehousing, Extract, Transform, and Load (ETL) development, data science or related Big Data applications.
• Knowledge of web technologies, Transmission Control Protocol/Internet Protocol (TCP/IP) concepts, Unix/Linux administration and commands.
• Ability to undergo background check clearance to work with Government clients.
  

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 developed 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.In this role, you will be a part of a global team that provides support to help customers make the switch to Google Cloud. You will troubleshoot technical problems for customers with debugging, networking, system administration, updating documentation and coding/scripting. You will work on Artificial Intelligence/Machine Learning (AI/ML) products within Google Cloud. You will make products easier to adopt and use by making improvements to the product, tools, processes and documentation. You will help drive the success of Google Cloud by understanding and advocating customer issues. You will need to work non-standard work hours or shifts (e.g., nights, weekends and holidays).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

• Manage customer problem through diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on Google Cloud Platform products like AI/ML.
• Develop an understanding of Google's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer reported issues, and building tools for diagnosis.
• Act as a consultant and subject matter expert for internal stakeholders in engineering, business, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
• Work as part of a team of engineers/consultants that globally ensure customer support. Work non-standard work hours or shifts.
• Understand customer issues and advocate for their needs with cross-functional teams, including product and engineering teams, to find ways to improve the product, and drive production.
  

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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .