By applying to this position you will have an opportunity to share your preferred working location from the following: Bangalore, Karnataka, India; Gurugram, Haryana, India.Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 10 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 MLOps at enterprise scale, on Google Cloud Platform or any other cloud. Preferred qualifications: • Experience building machine learning solutions, MLOps frameworks (Kubeflow), and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.). • Experience building and deploying data and ML pipelines with a focus on automation. • Familiarity with prompt tuning and experience delivering successful prototypes. • Understanding a customer’s existing software workloads, and ability to define a technical migration roadmap to the Cloud reflecting customer needs. • Familiarity with machine learning programming frameworks (e.g., LangChain, PyTorch, HuggingFace, and Tensorflow). • Pre-sales/consulting skills, and ability to deliver technical presentations while leading detailed discovery and planning sessions that are aligned jointly with the customer. 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 engineered 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. As a Customer Engineer, you will work with technical Sales teams as a machine learning subject matter expert to differentiate Google Cloud to 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. Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. 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 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, 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form
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