Cloud Technical Solutions Engineer, Data Ai/ml

**Minimum qualifications**:

- Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
- Experience programming or debugging code in one or more of the following: Python, Java, C, C++,.NET, Shell, Perl, JavaScript.
- Experience with ML frameworks (e.g., TensorFlow, Pytorch and Scikit-learn).
- Experience working with enterprise customers in a support, implementation, or solution design capacity.

**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 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.).

**About the job**:
As a Technical Solutions Engineer, you will be a part of a global team that provides support to help customers make the switch to Google Cloud. You will ensure we have the necessary tools, processes and needed technical knowledge to resolve the issue.

In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. 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.

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 Machine Learning (ML) operations helping customers. Work with immediate teams to increase operational efficiency and improve Product Supportability.
- Work with customers in 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.

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.