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Practice Specialist, Generative AI, Google Cloud

Karnataka, India (On-site)

Practice Specialist, Generative AI, Google Cloud

2 Months ago • 10 Years + • Artificial Intelligence

About the job

6 skills required for this role

Add these skills to join the top 1% applicants for this job

tensorflow

microservices

deep-learning

pytorch

google-cloud-platform

scalability

Job Description

As a Practice Specialist, you will work with technical Sales teams as a machine learning subject matter expert to differentiate Google Cloud to 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 platform.

Must have:

Bachelor's degree in Computer Science, Mathematics, or related technical field.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs.
Experience with fine-tuning and training Large Language Model.

Good to have:

Experience developing scalable architectures using API management, microservices frameworks, and PaaS.
Experience with modern software development life-cycle methodologies and tools including Continuous Integration/Continuous Deployment, container orchestration, and operations.
Experience with Google Cloud Platform (GCP) and Vertex AI.
Ability to engage with C-level or executive business leaders and influence decisions.
Ability to create prototypes/demos and articulate this to a customer audience, while integrating with existing systems.

Minimum qualifications:

Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs.
Experience with fine-tuning and training Large Language Model.

Preferred qualifications:

Experience developing scalable architectures using API management, microservices frameworks, and PaaS.
Experience with modern software development life-cycle methodologies and tools including Continuous Integration/Continuous Deployment, container orchestration, and operations.
Experience with Google Cloud Platform (GCP) and Vertex AI.
Ability to engage with C-level or executive business leaders and influence decisions.
Ability to create prototypes/demos and articulate this to a customer audience, while integrating with existing systems.

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Work with the team to identify and qualify business opportunities, understand customer technical objections, and develop the strategy to resolve technical blockers.
Support the technical relationship with Google’s customers including product and solution briefings, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud.
Create and deliver technical content (e.g., best practices, tutorials, code samples, presentations) to enable customers and internal teams to leverage Google Cloud AI infrastructure.
Travel to customer locations and represent Google Cloud at conferences, meetups, and other industry events to share knowledge, network with peers, and stay current on the latest trends.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.