ML Ops Engineer: Cloud, Pipelines & AI Deployments

Talan; Ciudad de México; Híbrido; MXN 1,099,000 - 1,466,000; Jornada completa

Descripción de la vacante

An international advisory group on innovation is seeking a skilled professional to manage Linux environments and work with Cloud services like Azure and AWS. Responsibilities include data acquisition through ETL, model deployment, and optimization of code in a hybrid position. Proficiency in Python and understanding of machine learning are essential. This role offers a full-time contract with a flexible benefits package.

Servicios

Smart Office Pack

Training and career development

Private medical insurance

Flexible remuneration package

Formación

• Experience in managing Linux environments.
• Knowledge of Cloud services (Azure and AWS).
• Strong proficiency in Python and/or Java.
• Experience in API development.
• Experience with orchestration, CI/CD pipelines, and containerization.

Responsabilidades

• Data acquisition and quality improvement through ETL processes.
• Production deployment of models in heterogeneous environments.
• Optimization of Python and Spark code.
• Cloud tasks (Azure and AWS).
• Administration of Linux machines.

Conocimientos

Linux environment management

Cloud services (Azure and AWS)

Supervised machine learning models

Unsupervised machine learning models

Proficiency in Python

API development

Containerization (Docker, Kubernetes)

Spanish (B2)

English (B2)

Descripción del empleo

An international advisory group on innovation is seeking a skilled professional to manage Linux environments and work with Cloud services like Azure and AWS. Responsibilities include data acquisition through ETL, model deployment, and optimization of code in a hybrid position. Proficiency in Python and understanding of machine learning are essential. This role offers a full-time contract with a flexible benefits package.