Cloud AI Engineer - Enterprise ML & Cloud Solutions (Travel)

Google LLC; Tandil; On-site; ARS 184,752,000 - 277,128,000; Full time

Job summary

Google LLC’s Cloud AI Engineer role sits in the Google Cloud Consulting Professional Services team, guiding customers through AI journeys using TensorFlow, DataFlow, and Vertex AI. You design and implement ML solutions for real business use cases, helping clients select, deploy, and scale models across their environments.

You’ll work with product teams and customers’ technical staff, travel up to 30%, and translate complex math into practical architectures, with a strong emphasis on reliability,

Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• Experience building ML solutions and working with technical customers.
• Experience designing cloud enterprise solutions and supporting customer projects.
• Experience with data structures, algorithms, and software design.
• Experience coding in Python.
• Ability to communicate in English fluently to collaborate with other teams.

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.

Skills

Python

English fluency

ML solutions

Cloud enterprise

Data structures

Communication

Education

Bachelor's degree in Computer Science

Tools

TensorFlow

DataFlow

Vertex AI

Hadoop

Spark

Job description

Google LLC’s Cloud AI Engineer role sits in the Google Cloud Consulting Professional Services team, guiding customers through AI journeys using TensorFlow, DataFlow, and Vertex AI. You design and implement ML solutions for real business use cases, helping clients select, deploy, and scale models across their environments.

You’ll work with product teams and customers’ technical staff, travel up to 30%, and translate complex math into practical architectures, with a strong emphasis on reliability,