MLOps Engineer

Atos
Mexico City
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureSkills: []

Build and manage the end-to-end machine learning lifecycle, focusing on MLOps best practices and ML pipeline orchestration. You’ll use Python and SQL for data processing and automation, and run production workflows on Google Cloud Platform with Cloud Composer (Apache Airflow). Partner with teams to transform data with Dataform, monitor and automate pipelines, and support CI/CD and ML model deployments (Docker/Kubernetes preferred).

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Atos
Atos
1 week ago

MLOps Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and manage the end-to-end machine learning lifecycle, focusing on MLOps best practices and ML pipeline orchestration. You’ll use Python and SQL for data processing and automation, and run production workflows on Google Cloud Platform with Cloud Composer (Apache Airflow). Partner with teams to transform data with Dataform, monitor and automate pipelines, and support CI/CD and ML model deployments (Docker/Kubernetes preferred).
Location: Mexico City
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Manage the machine learning lifecycle using MLOps practices.
  • •Develop and automate data processing and ML workflows with Python and SQL.
  • •Orchestrate and schedule data and ML pipelines using Cloud Composer and Apache Airflow on GCP.
  • •Use Dataform for data transformation and analytics engineering.
  • •Support pipeline automation, monitoring, and CI/CD for ML model deployment (preferred).

Key Requirements

  • •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 querying.
  • •Hands-on experience with Google Cloud Platform (GCP).
  • •Experience with Cloud Composer (Apache Airflow on GCP) and Apache Airflow for scheduling and managing data and ML pipelines.
Experience:Machine learning
Languages:English
Tech Stack:PythonSQLGoogle Cloud Platform (GCP)Cloud ComposerApache AirflowDataformCI/CDDockerKubernetes

Company Brief

Atos
Global digital services and consulting firm delivering cloud, cybersecurity, big data, digital workplace, and managed services to enterprise and public sector clients. Provides IT transformation, systems integration, and outsourcing solutions worldwide.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bezons, France
Founded: 1997
WebsiteLinkedIn