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.
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📌 Remote MLOps Engineer: GCP, Airflow & ML Pipelines (Ciudad de México)
🏢 Atos
📍 Ciudad de México
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