Remote MLOps Engineer: GCP, Airflow & ML Pipelines

Atos; México; A distancia; MXN 400.000 - 700.000; Jornada completa

Descripción de la vacante

Atos is seeking an MLOps Engineer to design and operate end-to-end ML lifecycle workflows. You will implement scalable pipelines, automate data processing in Python, and manage deployments on Google Cloud Platform using Airflow and related tools.

The role emphasizes remote work from any state in Mexico, with strong emphasis on MLOps practices, CI/CD for ML models, and container technologies like Docker and Kubernetes. Fluency in English is expected.

Formación

• Relevant experience in MLOps and ML lifecycle management.
• Proficiency in Python for data processing and ML workflows.
• Strong SQL skills and data querying on cloud platforms.

Responsabilidades

• Implement and manage MLOps pipelines across projects.
• Develop Python data processing and automation workflows.
• Orchestrate workflows with Airflow on GCP and monitor pipelines.
• Support CI/CD for ML models and deployment.

Conocimientos

MLOps

ML lifecycle

Python

SQL

GCP

Airflow

CI/CD

Docker

Kubernetes

Herramientas

Docker

Kubernetes

Airflow

Dataform

GCP

Descripción del empleo

Atos is seeking an MLOps Engineer to design and operate end-to-end ML lifecycle workflows. You will implement scalable pipelines, automate data processing in Python, and manage deployments on Google Cloud Platform using Airflow and related tools.

The role emphasizes remote work from any state in Mexico, with strong emphasis on MLOps practices, CI/CD for ML models, and container technologies like Docker and Kubernetes. Fluency in English is expected.