Hiring Organization :- Google

Post Name :- Customer Engineer

Qualifications:- Graduation

Industry :- Private

Employment Type :- Full Time

Work Hours :- 8

Salary:-  $20 To $30 /Hour

Locations :- Delaware ( USA )

Job Details:

Least capabilities:

• a bachelor's degree or work experience that is comparable
• five years of work experience as a customer-facing sales engineer or technical consultant in a cloud computing environment.
• Knowledge of Open Source, Big Data, Large Language Models (LLMs), NLP, and Machine Learning
•  Experience working with AI-related technologies, products, and cloud infrastructure
• Master's degree in computer science or a technical field that is related to it.
• Experience utilizing particular machine learning architectures, such as convolutional networks, deep learning, and LSTM, and creating machine learning solutions
• Knowledge of software architecture and infrastructure development for scalable, distributed systems
• Knowledge of data and information management in relation to business-related big data trends and issues.
• ability to assist creators, developers, and businesses in utilizing Google's generative language APIs to construct their own AI products.
• Capacity to smoothly talk and write in Portuguese or Spanish.

About the job:

The Google Cloud Platform team works with cloud-based technology to help businesses transform and build what's next. Our items are designed for security, unwavering quality and versatility, running the full stack from foundation to applications to gadgets and equipment. Our teams are dedicated to bringing our technology's benefits to developers, large and small businesses, educational establishments, and government agencies. You will play a crucial role in understanding our customers' needs and shaping the future of how businesses of all sizes use technology to connect with customers, employees, and partners as part of an entrepreneurial team in this rapidly expanding business.

• As a machine learning subject matter expert, you will work directly with Technical Sales teams as a Customer Engineer to make Google Cloud stand out to our customers.
• By explaining technical features, assisting customers in designing architectures, and resolving any potential obstacles, you will assist prospective customers and partners in comprehending the power of Google Cloud.
• You will also have the chance to assist customers in utilizing Google-developed specialized Machine Learning (ML) hardware, such as the Tensor Processing Unit (TPU). You will work intimately with clients and item improvement to shape the TPU stage.

Google Cloud speeds up associations' capacity to change their business with the best framework, stage, industry arrangements and skill carefully. We provide solutions of an enterprise level that make use of cutting-edge technology from Google, all hosted in the industry's cleanst cloud. Clients in excess of 200 nations and domains go to find out about Cloud as their confided in accomplice to empower development and take care of their most basic business issues.

This full-time position has a US base salary of $118,000 to $177,000, plus bonuses, equity, and benefits. Role, level, and location determine our salary ranges. The minimum and maximum target for new hire salaries for the position across all US locations are shown in the range on each job posting. Workplace location and additional factors, such as job-related skills, experience, and relevant education or training, influence individual pay within the range. During the hiring process, your recruiter can provide additional information regarding the specific salary range for your preferred location.

• Please be aware that the compensation information provided in US job postings only includes the base salary and does not include equity, bonuses, or benefits.
• At Google, learn more about benefits.

Obligations:

• Work with the group to distinguish and qualify business open doors, grasp key client specialized protests, and foster the methodology to determine specialized blockers.
• Support the technical relationship with Google's customers with machine learning expertise, such as product and solution briefings and proof-of-concept work.
• In order to prioritize solutions that influence customer adoption of Google Cloud, work directly with product management.
• Recommend the enterprise architectures, platforms, integration strategies, and application infrastructure needed to successfully implement a complete solution on Google Cloud using best practices.
• Go to client destinations, gatherings, and other related occasions as required.