Customer Engineer, Machine Learning

hace 4 semanas


Ciudad de México Google A tiempo completo

**Minimum qualifications**:

- Bachelor's degree or equivalent practical experience.- 5 years of experience as a sales engineer or technical consultant in a cloud computing environment or a customer-facing role.- Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, NLP.
- Experience working with AI products, technologies, and cloud infrastructure.

**Preferred qualifications**:

- Master's degree in Computer Science or a related technical field.
- Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
- Experience with data and information management as it relates to big data trends and issues within businesses.
- Experience architecting and developing software or infrastructure for scalable, distributed systems.
- Ability to support developers, creators, and enterprises to leverage Google’s generative language APIs so they can build their own AI products.
- Ability to speak and write in Portuguese or Spanish fluently.

**About the job**:

- In this role, 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. Additionally, you will have the opportunity to help customers to leverage specialized Machine Learning (ML) hardware developed by Google (e.g., Tensor Processing Unit (TPU)). You will work closely with customers and product development to shape the TPU platform. You will also have to travel to customer sites, conferences, and other related events as needed.

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 and proof-of-concept work.
- Partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.

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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