Technical Solutions Engineer, AI/ML (English)

Responsibilities

• Assist customers as they adopt generative AI and new AI-powered experiences across the GCP portfolio, and ensure they have a smooth experience using the platform, tools, and solutions.
• Develop an understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and diagnosis.
• Work with key customers on their production deployments to resolve issues and achieve product readiness availability and scale using GCP Generative AI and AI/ML products making an impact on the customers' business.
• Act as consultant and SME for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud.
• Work as part of team of engineers/consultants that globally ensure customer support, including working non-standard work hour/shift and may include weekend work.

Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 4 years of experience reading/debugging code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design and in virtualization and orchestration frameworks.
• Experience with Linux/Unix or similar systems, from the kernel to the shell, file systems, and client-server protocols.
• Experience troubleshooting and resolving technical issues in an application tech stack including AI/ML.
• Ability to communicate fluently in English to communicate with different customers and stakeholders.

Preferred qualifications:

• 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 (e.g., TCP/IP, Routing, Load balancing, etc.), with knowledge of basic web technologies (e.g., HTTP, HTML, DNS, TCP, etc.