Google Cloud Professional Services is seeking a Cloud AI Engineer to guide customers through their cloud transformation journey. This role combines technical expertise in machine learning with customer-facing responsibilities, helping businesses leverage Google's infrastructure and AI capabilities. The position requires deep knowledge of ML frameworks, cloud solutions, and the ability to implement production-ready machine learning systems.
As a Cloud AI Engineer, you'll design and implement ML solutions using Google's core products including TensorFlow, DataFlow, and Vertex AI. You'll work directly with customers to identify ML opportunities, deliver workshops, and deploy solutions. The role involves close collaboration with Product Management and Engineering teams to drive product excellence.
The ideal candidate brings 6+ years of ML solution building experience, strong programming skills in languages like Python/Java/Go, and expertise in deploying custom ML models. You'll need to understand deep learning frameworks, data warehousing concepts, and production ML system considerations. The role requires up to 30% travel within the region.
Google Cloud's mission is to accelerate digital transformation across industries, leveraging cutting-edge technology to solve critical business problems. This role offers the opportunity to work with key customers across Latin America, helping them implement innovative AI solutions while being part of Google's renowned technical community.
The position combines technical depth with customer interaction, requiring both strong ML expertise and excellent communication skills. You'll be instrumental in helping customers succeed with Google Cloud's AI products while contributing to the broader ML community through best practices and knowledge sharing.