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Cloud AI Engineer, Google Cloud (English)LocationBuenos Aires, Argentina; Mexico City, CDMX, MexicoExperience LevelMidApplication NotesOnly applications in English are considered. Only candidates with Mexican citizenship will be evaluated for this role in compliance with Article 7 of the Federal Labor Law. Please share your preferred working location in the following: Buenos Aires, Argentina; Mexico City, CDMX, Mexico.Minimum qualificationsBachelor'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 deep learning frameworks and 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 qualificationsExperience 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 jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. As part of an innovative team, 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.ResponsibilitiesBe 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.Equal Opportunity StatementGoogle 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 also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.Application ProcessInformation 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.To all recruitment agencies: Google does not accept agency resumes.#J-18808-Ljbffr

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