Technical Solutions Engineer, AI/ML
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Minimum qualifications:
- Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 4 years of experience coding in a general purpose coding language or in system design, and troubleshooting and advocating for customers' needs, and triaging technical issues.
- 4 years of experience with 2 or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes.
- Experience in Computer Networking (e.g., Firewalls, Routing, Load balancing, etc.), web technologies (e.g., HTTP, HTML, DNS, TCP, etc.).
- Experience in Artificial intelligence (AI) concepts and techniques.
- Experience with AI model trainings, performance analysis and integration with other Cloud services.
Preferred qualifications:
- 2 years of experience in recommendation systems, NLP, speech recognition, or computer vision.
- Experience with exploratory data analysis, model development, auxiliary practical concerns in production ML systems. Experience in Generative AI understanding of Prompt Engineering, tokenization.
- Experience with public cloud services and infrastructure.
- Experience with troubleshooting ML models (e.g., Tensorflow, Keras, PyTorch).
- Experience with performance analysis of containerized systems, with understanding of underlying resources like Kubernetes, compute resources.
- Excellent leadership and influencing skills in AI/ML application, with the ability to lead the design and implementation of AI-based solutions, web services, and debugging tools.
About the job
The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.
As a Technical Solutions Engineer, you will be a part of a global team that provides support for customer issues. You will ensure we have the necessary tools, processes, and needed technical knowledge to resolve the issue.
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
- Work with customers on their ML deployments to resolve issues, achieve production readiness, availability, and scale. Partner with Product and engineering teams to improve products based on customer feedback.
- Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, to find ways to improve the product, fix product bugs, drive production.
- 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, and 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, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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