Remote Cloud AI Engineer for Production ML

Accenture Argentina; Quilmes; Hybrid; ARS 138,361,000 - 199,855,000; Full time

Job summary

Google Cloud Consulting Professional Services in Buenos Aires (Argentina) and Mexico City (Mexico) is hiring a Cloud AI Engineer to design and implement ML solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. This mid-level role requires 3+ years of ML experience and fluency in English.

You will work with customers to identify opportunities, travel up to 30% regionally, and collaborate with Product Management and Product Engineering to

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 deep learning frameworks and agentic AI workflows.
• Experience coding in Python, including data structures, algorithms, and software design.
• Ability to communicate in English fluently as this is a customer-facing role.

Responsibilities

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

Skills

Python

English

Machine Learning

Cloud solutions

Customer-facing

Education

Bachelor's degree in Computer Science

Tools

TensorFlow

PyTorch

XGBoost

Apache Beam

Hadoop

Spark

Job description

Google Cloud Consulting Professional Services in Buenos Aires (Argentina) and Mexico City (Mexico) is hiring a Cloud AI Engineer to design and implement ML solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. This mid-level role requires 3+ years of ML experience and fluency in English.

You will work with customers to identify opportunities, travel up to 30% regionally, and collaborate with Product Management and Product Engineering to