Technical Solutions Engineer, AI/ML
Job Description
Google Cloud is seeking a Technical Solutions Engineer to join their AI/ML support team. This role combines technical expertise with customer service, focusing on helping customers successfully implement and maintain Google Cloud solutions. As a Technical Solutions Engineer, you'll be part of a global 24/7 support team that helps customers transition to Google Cloud seamlessly.
The position requires strong technical debugging skills across multiple domains including networking, system administration, and coding. You'll work directly with customers on their production deployments, troubleshooting issues and ensuring optimal product performance. The role involves deep diving into technical problems using a combination of debugging techniques, system analysis, and when necessary, coding solutions.
What makes this role unique is its focus on AI/ML within Google Cloud's ecosystem. You'll be working with cutting-edge technology while helping customers implement and optimize their cloud solutions. The position offers the opportunity to impact Google Cloud's product development by advocating for customer needs and providing feedback to Product and Engineering teams.
This is an ideal role for someone who combines strong technical skills with excellent communication abilities, as you'll be interfacing with both customers and internal teams. The position offers exposure to enterprise-grade solutions and Google's cutting-edge technology while working in a collaborative, global environment.
Benefits include working with industry-leading technology, being part of Google's innovative culture, and the opportunity to shape the future of cloud computing. The role provides significant growth potential as you'll constantly learn about new technologies and solutions while helping customers solve complex technical challenges.
Responsibilities For Technical Solutions Engineer, AI/ML
- Work with customers on production deployments to resolve issues and achieve product readiness
- Develop understanding of Google Cloud's product technology and architectures through troubleshooting
- Act as consultant and subject matter expert for internal stakeholders
- Work as part of global 24-hour customer support team including non-standard hours/shifts
- Understand customer issues and advocate for their needs with internal teams
Requirements For Technical Solutions Engineer, AI/ML
- Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience
- 4 years of experience reading and explaining code in Java, Python, PHP, Go, Ruby, C#, C, or Javascript
- 4 years of experience with Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP
- Experience debugging workload issues across multi-node environments
- Experience with exploratory kernel debugging and performance analysis of containerized systems
- Experience working with public cloud services and infrastructure
- Experience in computer networking (TCP/IP, Routing, Load balancing, etc.)
- Knowledge of basic web technologies (HTTP, HTML, DNS, TCP, etc.)
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