Customer Engineering Specialist, AI, Google Cloud
- Location-Mumbai, Maharashtra, India
- Company-Google Cloud
- Job type-onsite Hybrid
- Experience level-Mid-senior level
Preferred qualifications:
- Experience with building Machine Learning (ML) Solutions, Machine Learning Operations frameworks like kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.).
- Experience in understanding a complex customer’s existing software workloads and the ability to define a technical migration roadmap to the Cloud reflecting specific customer needs.
- Experience in building and deploying data and ML pipelines with a focus on automation.
- Familiarity with machine learning programming frameworks such as LangChain, PyTorch, HuggingFace, and Tensorflow.
- Familiarity with prompt tuning and experience delivering successful prototypes.
Minimum qualifications:
- 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, along with implementing Machine Learning Operations at enterprise scale, on any cloud platform.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
About the Role
As a Customer Engineer, you will work with technical Sales teams as a machine learning subject matter expert to differentiate Google Cloud from our customers. You will help prospective customers and partners understand the power of Google Cloud, explaining technical features, helping customers design architectures, and problem-solving any potential roadblocks. In this role, you will work with customers and product development to shape the future of the AI/Gen AI platform.
Land Your Dream Job: VisualCV AI-Powered Resume Builder – 5X More Interviews, ATS-Proof, 10-Minute Creation
Responsibilities
- 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, and proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to implement a complete solution using best practices on Google Cloud.
- Travel to customer sites, conferences, and other related events as needed.
