GenAI Platform Engineer - ML, Python & Cloud

DataArt; Monterrey; Presencial; MXN 480 000 - 720 000; Tempo integral

Resumo da oferta

DataArt is seeking a Middle ML AI Developer to design, build, and operate GenAI-based solutions with strong Python, cloud, and infrastructure experience. You will contribute to AI products, support platform adoption, and improve delivery through engineering best practices.

Join AI Platform to expand a modern AI portfolio, build scalable products, and collaborate with multiple squads to raise the level of platform standards across the organization.

Qualificações

• Experience building GenAI or ML solutions in production.
• Strong Python backend development experience.
• Knowledge of CI/CD and infrastructure as code practices.
• Familiarity with observability, reliability, and performance considerations.

Responsabilidades

• Develop data products and GenAI solutions within domain teams.
• Facilitate adoption of the Data and AI Platform across squads.
• Build, deploy, and operate GenAI and ML models in production ready environments.
• Manage infrastructure for environments and AI and ML products with focus on observability, performance, and reliability.
• Contribute to CI/CD pipelines, infrastructure as code practices, and platform automation.
• Collaborate with Software Engineering, data, MLOps, and DevOps teams to maintain engineering standards.
• Support experimentation frameworks and internal tools for GenAI model development and evaluation.

Conhecimentos

Python

GenAI/ML concepts

CI/CD

Observability

Docker

Ferramentas

GCP

AWS

Azure

Terraform

Airflow

MLflow

Descrição da oferta de emprego

DataArt is seeking a Middle ML AI Developer to design, build, and operate GenAI-based solutions with strong Python, cloud, and infrastructure experience. You will contribute to AI products, support platform adoption, and improve delivery through engineering best practices.

Join AI Platform to expand a modern AI portfolio, build scalable products, and collaborate with multiple squads to raise the level of platform standards across the organization.