Cloud AI Engineer IV, Google Cloud (English)

Google; Buenos Aires; Presencial; ARS 182.877.000 - 274.315.000; Jornada completa

Descripción de la vacante

Google is seeking a Cloud AI Engineer IV in Buenos Aires or Mexico City to design and deploy ML solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. You will partner with customers to identify ML opportunities, travel to sites for deployment, and collaborate with product teams to drive product excellence.

You will work with Google Cloud customers to guide architecture, data migration, capacity planning, and production support, while mentoring junior team members and

Formación

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience building ML solutions and working with technical customers.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.
• Experience deploying custom ML models into production with deep learning frameworks.
• Experience coding in Python with strong data structures, algorithms and design.
• Fluent English for a customer-facing role.

Responsabilidades

• Be a trusted technical advisor to customers and solve ML challenges.
• Coach customers on ML systems: feature extraction, data validation, monitoring.
• Collaborate with Customers, Partners, and Product teams to productionise solutions.
• Create and deliver best-practice recommendations, tutorials, and sample code.
• Travel up to 30% in-region for meetings and on-site delivery.

Conocimientos

ML solutions

Cloud enterprise solutions

Deploy ML models

Python programming

English communication

Educación

Bachelors in Computer Science

Herramientas

TensorFlow

PyTorch

XGBoost

Apache Beam

Hadoop/Spark

Pig/Hive/MapReduce/Flume

Descripción del empleo

Cloud AI Engineer IV, Google Cloud (English)

Buenos Aires, Argentina; Mexico City, CDMX, Mexico

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Buenos Aires, Argentina; Mexico City, CDMX, Mexico**.

**Minimum qualifications:**

• + Bachelor's degree in Computer Science or equivalent practical experience.
• + 3 years of experience building machine learning solutions and working with technical customers.
• + Experience designing cloud enterprise solutions and supporting customer projects to completion.
• + Experience building and deploying custom ML models into production, including experience with deep learning frameworks and with designing and deploying agentic AI workflows for business process automation.
• + Experience coding in Python, including data structures, algorithms, and software design.
• + Ability to communicate in English fluently as this is a customer‑facing role.

**Preferred qualifications:**

• + Experience working with recommendation engines, data pipelines, or distributed machine learning.
• + Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost).
• + Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
• + Understanding of the auxiliary practical concerns in production machine learning systems.

**About the job**

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.

In this role, you will work with key Google Cloud customers. Together with the team, you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.

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**

• + Be a trusted technical advisor to customers and solve complex machine learning challenges.
• + Coach customers on the practical challenges in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models.
• + Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.
• + Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
• + Travel up to 30% in‑region for meetings, technical reviews, and onsite delivery activities.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

• Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Google is proud to be an equal opportunity and affirmative action employer.

We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .

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.