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, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.

With more than 52,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.

About Atos Group

Atos Group is a global leader in digital transformation with c. 54,000 employees and annual revenue of c. €7.2 billion, operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.

MLOps Engineer

Location: remote in any state of Mexico

Language: English fluent

Key Responsibilities:

• Strong experience in MLOps practices and machine learning lifecycle management
• Proficiency in Python for data processing, automation, and ML workflows
• Strong knowledge of SQL and database queryingHands-on experience with Google Cloud Platform (GCP)
• Experience with Cloud Composer (Apache Airflow on GCP) for workflow orchestration
• Expertise in Apache Airflow for scheduling and managing data and ML pipelines
• Experience with Dataform for data transformation and analytics engineeringUnderstanding of workflow orchestration, pipeline automation, and monitoring
• Experience with CI/CD pipelines and ML model deployment (preferred)
• Knowledge of containerization technologies such as Docker and Kubernetes (preferred)

Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. 

Choose your future. Choose Atos.