Cloud AI/ML Engineer – Client-Facing Deployments

Google; Atlanta (GA); On-site; USD 152,000 - 221,000; Full time

Job summary

Google Cloud Platform is seeking a Cloud Engineer to design and implement machine learning solutions for customer use cases. You will travel to customer sites to deploy solutions and deliver hands-on workshops to educate and empower engineers.

You will work with customers to identify opportunities to transform their business with ML, leverage core Google products, and help drive adoption of Google Cloud across industries.

Qualifications

• Bachelor's degree in CS or equivalent practical experience.
• 6 years of experience building machine learning solutions with technical customers.
• Experience coding in Python/Java/Go/C or C++ including data structures and algorithms.
• Ability to travel up to 20%.

Responsibilities

• Design and implement machine learning solutions for customer use cases.
• Travel to customer sites to deploy solutions and deliver hands-on workshops.
• Interact with product teams to influence the ML roadmap and product features.
• Deliver tutorials, best practices, and technical presentations to stakeholders.
• Collaborate with engineers to ensure successful cloud implementations.

Skills

Machine learning solution development

General purpose programming

Customer-facing experience

Travel up to 20%

Education

Bachelor's degree in Computer Science or equivalent practical experience

Job description

Google Cloud Platform is seeking a Cloud Engineer to design and implement machine learning solutions for customer use cases. You will travel to customer sites to deploy solutions and deliver hands-on workshops to educate and empower engineers.

You will work with customers to identify opportunities to transform their business with ML, leverage core Google products, and help drive adoption of Google Cloud across industries.