Cloud AI Engineer: Build Production ML for Customers

Toloka Ai

Quilmes

On-site

ARS 181,747,000 - 272,620,000

Full time

3 days ago
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Job summary

Google Cloud Consulting Professional Services is hiring a Cloud AI Engineer IV in Argentina or Mexico to design and implement machine learning solutions for customer use cases using TensorFlow, DataFlow, and Vertex AI. You will travel to customer sites to deploy solutions and deliver workshops.

You will work with Product Management and Product Engineering to ensure production readiness, guide architecture, and deliver best practices. Strong Python skills and English communication are required.

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 experience with deep learning frameworks and with 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.

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.

Job description

Google Cloud Consulting Professional Services is hiring a Cloud AI Engineer IV in Argentina or Mexico to design and implement machine learning solutions for customer use cases using TensorFlow, DataFlow, and Vertex AI. You will travel to customer sites to deploy solutions and deliver workshops.

You will work with Product Management and Product Engineering to ensure production readiness, guide architecture, and deliver best practices. Strong Python skills and English communication are required.

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