Cloud AI Model Training Engineer

Outlier; Quilmes; Remoto; ARS 139.474.000 - 201.463.000; Tempo integral

Resumo da vaga

Google Cloud Consulting Professional Services seeks a Cloud AI Engineer to design and deploy ML solutions for customer use cases, including agentic AI workflows, using TensorFlow, DataFlow, and Vertex AI. Travel to customer sites will be required to deploy solutions and run workshops.

The role emphasizes collaboration with Product Management and Engineering, deep cloud expertise, and the ability to communicate in English with technical customers. In-person interviews preferred.

Qualificações

• 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.

Responsabilidades

• Design and implement machine learning solutions for customer use cases.
• Travel to customer sites to deploy solutions and deliver workshops.
• Collaborate with Product Management and Product Engineering to build and improve Google Cloud products.

Conhecimentos

Machine Learning engineering

Python programming

Cloud architecture

English communication

Mentoring

Formação

Bachelor's degree in Computer Science

Ferramentas

TensorFlow

PyTorch

XGBoost

Apache Beam

Hadoop

Spark

Pig

Hive

Descrição da vaga

Google Cloud Consulting Professional Services seeks a Cloud AI Engineer to design and deploy ML solutions for customer use cases, including agentic AI workflows, using TensorFlow, DataFlow, and Vertex AI. Travel to customer sites will be required to deploy solutions and run workshops.

The role emphasizes collaboration with Product Management and Engineering, deep cloud expertise, and the ability to communicate in English with technical customers. In-person interviews preferred.