GenAI Customer Solutions Engineer (Cloud & ML)

Google; Sunnyvale (CA); On-site; USD 127,000 - 182,000; Full time

Job summary

Google's gTech division seeks an engineer to design and implement ML solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply ML in their business and travel to customer sites to deploy solutions and run workshops.

You will collaborate with Product Management and Product Engineering to drive product excellence and support Google Cloud product implementations by providing architecture guidance, data

Qualifications

• Bachelor’s degree or equivalent practical experience in engineering or CS.
• 3 years of experience with client-side web tech (HTML/CSS/JS/HTTP).
• 3 years of experience coding in one or more languages (Java, C/C++, Python).
• Experience troubleshooting technical issues for partners or customers.

Responsibilities

• Learn more about benefits at Google.
• Support Partner and product teams with data pipelines for Gen AI products and APIs.
• Collaborate with engineering PMs to influence product roadmaps.
• Help manage releases and the release train.
• Troubleshoot issues and build internal tools using Gen AI offerings for partner enablement.
• Stay updated on Gen AI advancements and share insights with team and partners.

Skills

Client-side web tech

Programming languages

Troubleshooting

Education

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience

Master’s degree in Engineering, Computer Science, Business, or related field

Job description

Google's gTech division seeks an engineer to design and implement ML solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply ML in their business and travel to customer sites to deploy solutions and run workshops.

You will collaborate with Product Management and Product Engineering to drive product excellence and support Google Cloud product implementations by providing architecture guidance, data