Ubisoft

Ubisoft

Software Engineer – MLOPS

Montreal, QC, Canada

Sponsorship not specifiedDetected 12 days ago
PythonRustAWSCloud PlatformsKubernetesTerraformMachine LearningData EngineeringComputer VisionMLOpsResearchCommunicationArgo CD

About the role

  • Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin's Creed, Rainbow Six to Just Dance and more.
  • We believe diverse perspectives help both players and teams thrive.
  • This role combines applied research and software engineering, with a strong focus on production deployment.

Responsibilities

  • Lead end to end projects, from design to real world usage
  • Design, develop, and maintain application services and APIs for data and model sharing
  • Build and operate large scale data processing pipelines
  • Deploy and manage scalable cloud infrastructures
  • Write clean, efficient, and maintainable code designed for scale
  • If you're passionate about innovation and pushing entertainment boundaries, join our journey and help create the unknown!
  • You will join the Player Data domain within Ubisoft's Data Office, whose mission is to use data to support players throughout their journey in a safe and respectful environment.

Requirements

  • Links to projects, code repositories, or systems you have contributed to

Benefits

  • Contribute to exploratory projects testing new data and machine learning approaches
  • Apply modern deployment and monitoring practices for machine learning systems
  • Collaborate closely with data and machine learning specialists to bring models into production
  • Ability to connect high level vision with technical details
  • Working knowledge of machine learning, including advanced models
  • As a Machine Learning Operations Software Engineer at Ubisoft Montréal, you will help build reliable and scalable systems that protect the trust and safety of our players.

This listing is sourced directly from Ubisoft's careers page and normalized into a canonical job model.