Website Google
Position Summary:
As an Artificial Intelligence/Machine Learning Technical Specialist, you will contribute experience and thought leadership to support Google Cloud Sales teams, and drive vision, mission, and strategy around cloud AI/ML solutions that aid in a customer’s migration and transformation to Google Cloud. You’ll meet with customers to facilitate business transformation, success patterns, and establish an architectural blueprint as the foundation for migration to Google Cloud.
In this role, you’ll identify and assess customer AI/ML opportunities to uncover Google Cloud solutions to recommend, plan for, and address core market opportunities and use cases. Finally, you will enable customers, partners and field teams on the best way to position AI/ML solutions on Google Cloud, explain technical features, and problem-solve potential roadblocks.
Key Responsibilities:
- Influence the strategy for Google Cloud AI/ML by advocating for enterprise customer requirement and needs.
- Demonstrate the business value of Google Cloud AI/ML solutions that meet, enhance, and innovate for our enterprise customers.
- Work with technical Sales teams as an AI/ML subject matter expert to differentiate Google Cloud to our customers.
- Help prospective customers and partners understand the power of Google Cloud, explaining technical features, helping customers design architectures, and problem-solving any potential roadblocks.
Required Education & Experience:
- Experience with building large-scale machine learning infrastructure with distributed systems (e.g., Kubernetes, GPU, REST API, MySQL/PostgreSQL).
- Experience in performing technical presentations or public speaking.
- Master’s degree in a technical field (e.g., Computer Science, Engineering, Mathematics).
- Ability to learn, understand, and work quickly with emerging technologies, methodologies, and solutions.
- Experience with Build and Use AI (e.g., ML templates, deep learning, custom ML) for various use cases (e.g., tabular data, images, video, speech, unstructured text).
- Experience building machine learning solutions, leveraging machine learning architectures, and developing solutions utilizing AI frameworks and methods.
- Experience in TensorFlow on cloud native architectures in a customer-facing or support role.
- Bachelor’s degree or equivalent practical experience with Computer Science, Machine Learning, and Artificial Intelligence.