Remote MLOps Engineer — Cloud, Airflow & Data Pipelines

Atos SE; México; A distancia; MXN 600.000 - 1.000.000; Jornada completa

Descripción de la vacante

Atos SE in Mexico remotely collaborates with global teams to deliver AI-driven digital services. The role focuses on building ML lifecycle workflows using Python, SQL, Airflow, Dataform, and GCP to automate data pipelines and model deployment.

You will operate in a remote-capable environment, working with Docker and Kubernetes to ensure scalable, secure cloud solutions aligned with Atos CSR commitments.

Formación

• Experience with ML lifecycle management and MLOps workflows.
• Strong Python skills for data processing and automation.
• Solid SQL and data querying abilities.

Responsabilidades

• Implement ML lifecycle workflows and MLOps practices.
• Develop Python-based data processing and ML automation pipelines.
• Design and manage SQL queries for data pipelines.
• Hands-on with GCP for cloud-based ML workloads.
• Orchestrate workflows with Cloud Composer (Airflow) and Airflow.
• Utilize Dataform for data transformation and analytics.
• Collaborate on CI/CD pipelines and ML model deployment.
• Work with Docker and Kubernetes for containerized environments.

Conocimientos

MLOps practices

Python

SQL

Apache Airflow

Dataform

CI/CD pipelines

Docker

Kubernetes

Google Cloud Platform (GCP)

Herramientas

Cloud Composer

Airflow

Docker

Kubernetes

GA Cloud Platform (GCP)

Descripción del empleo

Atos SE in Mexico remotely collaborates with global teams to deliver AI-driven digital services. The role focuses on building ML lifecycle workflows using Python, SQL, Airflow, Dataform, and GCP to automate data pipelines and model deployment.

You will operate in a remote-capable environment, working with Docker and Kubernetes to ensure scalable, secure cloud solutions aligned with Atos CSR commitments.