Senior Cloud AI Engineer - Production ML Solutions

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

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