Cloud AI Engineer: Production ML & Platform SRE

Fullstack

Buenos Aires

Hybrid

ARS 185,448,000 - 278,173,000

Full time

4 days ago

Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

The Google Cloud Consulting Professional Services team is seeking a Cloud AI Engineer to design and implement machine learning solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities for ML, travel to client sites to deploy solutions, and educate teams through workshops.

You will collaborate with Product Management and Product Engineering to drive excellence in Google Cloud products and help customers scale AI

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 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.

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 articles, and sample code.
Travel up to 30% in-region for meetings, technical reviews, and onsite delivery activities.