Cloud Technical Solutions Consultant, Data AI/ML

Google
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Job Description

Minimum qualifications:

  • Bachelor's degree in technical field, or equivalent practical experience in technical support, professional services, or software development.
  • Experience advocating for customer issues, and reading/debugging code (e.g., Java, C, C++, .NET, Python, Shell, Perl, JavaScript).
  • Ability to undergo additional background check clearance to work with Government clients, and work non-standard hours, rotations, and shifts.

Preferred qualifications:

  • 2 years of experience in machine learning, recommendation systems, natural language processing, speech recognition, or computer vision.
  • Experience in production deployment of machine learning.
  • Experience developing and/or training models using machine learning technologies (e.g., Tensorflow, Keras, PyTorch).
  • Experience with exploratory data analysis, model development and auxiliary practical concerns in production ML systems.
  • Experience with specific machine learning architectures (e.g., AlexNet, LSTM, Conformers, BERT, etc.).
  • 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, debugging tools.

About the job

As a Technical Solutions Consultant, 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 issue.

You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. Your focus will be on AI/ML products within Google Cloud. You will make our 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 for our customers’ issues. This will include a need to sometimes work non-standard work hours or shifts (nights, weekends and holidays).

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

  • Be a thought leader in ML operations helping customers proactively. Work with immediate teams to increase operational efficiency and improve Product Supportability.
  • Work with customers on their production ML deployments to resolve issues and achieve production readiness, availability and scale. Partner with Product and engineering teams to improve products based on customer feedback.
  • Manage customer problems through effective diagnosis, resolution, documentation or implementation of investigation tools to increase productivity for customer issues on Google Cloud Platform products.
  • Develop an understanding of Google Cloud’s AI/ML products/solutions and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, building tools for faster diagnosis.
  • Act as consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud.

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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