GoogleEmployer profile

Cloud Technical Solutions Engineer, Data AI/ML

Location not specified · 5–83.3 yrs

Experience: 5–83.3 yrs
Salary: Not disclosed
Location: Location not specified
Work mode: Not specified
Job type: Full-time
Apply by: Closing date not listed
Posted: 14 Jul 32

About this role

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Bangalore, Karnataka, India.Minimum qualifications:

Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
5 years of experience with ML frameworks such as TensorFlow, Pytorch, and Scikit-learn.
Experience programming or debugging code in one or more of the following: Python, Java, C, C++, .NET, Shell, Perl, or JavaScript.
Ability to work non-standard hours and differing rotations/shifts.

Preferred qualifications:

Experience with exploratory data analysis, model development, and auxiliary practical concerns in production ML systems.
Experience developing or training models using machine learning technologies (e.g., TensorFlow, Keras, PyTorch).
Experience in machine learning, recommendation systems, natural language processing, speech recognition, or computer vision.
Experience in production deployment of machine learning.
Experience with specific machine learning architectures (e.g., AlexNet, LSTM, Conformers, BERT).
Excellent leadership and influencing skills in the application of AI or Machine Learning, with the ability to lead the design and implementation of AI-based solutions, web services, and debugging tools.

About The Job

As a Technical Solutions Engineer you will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud. When customers cannot resolve issues themselves, your job will be to ensure that we have the necessary tools, processes, and needed technical knowledge to resolve the issues.

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

Manage customer problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on Google Cloud Platform products, specifically AI/ML products on Google Cloud Platform.
Develop an understanding of Google's product technology and underlying architectures by troubleshooting and reproducing.
Determine the root cause for customer reported issues, and building tools for faster diagnosis.
Act as a consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
Work as part of a team of engineers/consultants that globally ensure 24-hour customer support.

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 .

Skills

Project Management Consulting and Engineering