Machine Learning Ais position you will have an opportunity to share your preferred working location from the following: ***Mexico City, CDMX, Mexico; Buenos Aires, Argentina*** ***Minimum qualifications:*** + Bachelor's degree in Computer Science or equivalent practical experience.
+ Experience building machine learning solutions and working with technical customers.
+ Experience designing cloud enterprise solutions and supporting customer projects to completion.
+ Experience with data structures, algorithms, and software design.
+ Experience coding in Python.
+ Ability to communicate in English fluently to collaborate with other teams.
***Preferred qualifications:*** + Experience with recommendation engines, data pipelines, distributed machine learning, and deep learning frameworks.
+ Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost).
+ Knowledge of data warehousing (ETL/ ELT) and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark).
+ Knowledge of cloud computing, including virtualization, multi‐tenant infrastructures, and storage systems.
+ Excellent customer‐facing communication and listening skills with expertise in architecting solutions.
***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 general 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 be the Google Engineer working with Google's largest and most ambitious 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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy (./privacy-policy).
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, red processing, with proficiency in pandas for complex multi-step transformations.
Familiarity with modeling libraries such as scikit-learn or statsmodels to build and evaluate predictive or statistical matching models.
Experience working with messy text fields: cleaning, parsing, filtering and pattern matching within string variables.
Solid understanding of relational database design, including how tables connect, primary/foreign keys, and data normalization.
Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or a related field with coursework covering database management or quantitative data analysis.
Nice to Have
Experience working with consumer, retail, panel, or transactional datasets.
Familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
Exposure to marketing analytics, consumer insights, or market measurement environments.
Experience building data tables or views that feed dashboards and recurring reports.
Why Join Us?
10 days of PTO to recharge wherever you choose.Enjoy USA Holidays.100% remote work—design the work-life balance that fits you best.Work with real consumer and market data that influences strategic business decisions.Collaborate with international teams and stakeholders.Develop your expertise in SQL, Python, and machine learning while working on impactful projects.
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📌 Machine Learning Engineer – Ml Evaluation & Experiment Design (Neuquén)
🏢 Anyone AI
📍 Neuquén