MLOps Engineer

Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience, and sovereignty for public and private organizations worldwide.

Atos has more than 52,000 employees serving over 4,500 clients across 54 countries, helping modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments.

MLOps Engineer

Location: Remote in any state of Mexico

Language: English fluent

Key Responsibilities

• Apply strong experience in MLOps practices and machine learning lifecycle management.
• Use Python for data processing, automation, and machine learning workflows.
• Work with SQL and database querying.
• Use Google Cloud Platform (GCP).
• Work with Cloud Composer, Apache Airflow on GCP, for workflow orchestration.
• Use Apache Airflow for scheduling and managing data and machine learning pipelines.
• Work with Dataform for data transformation and analytics engineering.
• Understand workflow orchestration, pipeline automation, and monitoring.
• Work with CI/CD pipelines and machine learning model deployment.
• Use containerization technologies such as Docker and Kubernetes.

Atos embeds diversity and inclusion in its culture and is committed to a fair work environment.