Atos SE in Mexico remotely collaborates with integral 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.
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📌 Remote MLOps Engineer — Cloud, Airflow & Data Pipelines (Ciudad de México)
🏢 Atos
📍 Ciudad de México
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