Customer Engineering Specialist, AI, Google Cloud
Description For Customer Engineering Specialist, AI, Google Cloud
Google Cloud is seeking a Customer Engineering Specialist to join their AI team, focusing on helping customers leverage machine learning and cloud technologies. This role combines technical expertise in ML/AI with customer-facing responsibilities, making it perfect for those who excel in both technical implementation and relationship building.
The position requires deep knowledge of machine learning frameworks, cloud architectures, and the ability to translate complex technical concepts for various stakeholders. You'll work directly with customers to design and implement ML solutions, while also contributing to the platform's future development.
As a Customer Engineer, you'll be part of Google Cloud's mission to accelerate digital transformation across industries. You'll work with cutting-edge AI technology, helping organizations implement and optimize their machine learning operations at scale. The role offers exposure to diverse technical challenges and the opportunity to shape how businesses adopt AI technologies.
The ideal candidate brings 8 years of experience in cloud architectures and machine learning, with proven expertise in frameworks like TensorFlow and PyTorch. You'll need strong communication skills to engage with both technical teams and executive leadership, as well as the ability to design comprehensive technical solutions that address specific customer needs.
This role offers the unique opportunity to work at the intersection of cloud computing and artificial intelligence while helping shape the future of enterprise AI adoption. You'll be part of Google's innovative culture, working with world-class teams and technologies while having a direct impact on how organizations across the globe implement AI solutions.
Responsibilities For Customer Engineering Specialist, AI, Google Cloud
- Work with the team to identify and qualify business opportunities, understand key customer technical objections and develop the strategy to resolve technical blockers
- Provide machine learning expertise to support the technical relationship with Google's customers, including product and solution briefings, proof-of-concept work
- Partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud
- Recommend integration strategies, enterprise architectures, platforms and application infrastructure
- Travel to customer sites, conferences, and other related events as needed
Requirements For Customer Engineering Specialist, AI, Google Cloud
- Bachelor's degree or equivalent practical experience
- 8 years of experience in virtualization or cloud native architectures in a customer-facing or support role
- Experience with big data and machine learning frameworks such as Tensorflow, PyTorch or scikit-learn
- Experience implementing Machine Learning Operations at enterprise scale
- Experience engaging with, and presenting to, technical stakeholders and executive leaders
