Cloud AI Engineer, Professional Services, Google Cloud
Job Description
Google Cloud Professional Services is seeking a Cloud AI Engineer to guide customers through their cloud transformation journey. This role combines machine learning expertise with customer-facing consulting to help businesses leverage Google Cloud's AI capabilities. You'll design and implement ML solutions using Google's technology stack including TensorFlow, DataFlow, and Vertex AI.
The position requires deep technical knowledge in machine learning, with focus on building and deploying production ML systems. You'll work directly with customers to identify AI opportunities, deliver workshops, and implement solutions. The role involves collaborating with Product Management and Engineering teams to drive product excellence.
As a trusted technical advisor, you'll help solve complex ML challenges around feature engineering, data validation, model monitoring, and production deployment. Travel up to 30% within the region is required for customer engagement. The ideal candidate brings both strong technical ML skills and excellent communication abilities to bridge technical and business needs.
This is an opportunity to shape how enterprises adopt AI technology while working with cutting-edge Google Cloud products. You'll be part of a team helping customers transform their businesses through cloud and AI solutions. The role offers exposure to diverse industries and technical challenges while working with Google's innovative technology stack.
Google Cloud accelerates digital transformation across industries by providing enterprise-grade solutions built on Google's technology. This role lets you be at the forefront of helping organizations leverage AI and cloud capabilities to solve their most critical business challenges.
Responsibilities For Cloud AI Engineer, Professional Services, Google Cloud
- Be a trusted technical advisor to customers and solve complex machine learning challenges
- Coach customers on practical challenges in machine learning systems
- Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production
- Create and deliver best practice recommendations, tutorials, blog articles, and sample code
- Travel up to 30% in-region for meetings, technical reviews, and onsite delivery activities
Requirements For Cloud AI Engineer, Professional Services, Google Cloud
- Bachelor's degree in Computer Science or equivalent practical experience
- 6 years of experience building machine learning solutions and working with technical customers
- Experience designing cloud enterprise solutions and supporting customer projects to completion
- Experience coding in one or more general purpose languages including data structures, algorithms, and software design
- Experience building and deploying custom ML models into production
- Ability to communicate in English fluently
