Software Engineer – MLOPS

Ubisoft; Montreal; Sur place; CAD 90 000 - 130 000; Plein temps

Résumé du poste

Ubisoft Montréal is seeking a Machine Learning Operations Software Engineer to build reliable, scalable systems that protect player trust and safety. You will join the Player Data domain within Ubisoft's Data Office, supporting players with data-driven, safe experiences.

This role blends applied research and software engineering with a focus on production deployment, enabling collaboration with data and ML specialists to bring models into production at scale.

Qualifications

• Proficiency in Python or Rust for software development or data engineering.
• Experience designing and consuming web service APIs.
• Experience with cloud environments and containerized systems such as Kubernetes, ArgoCD, AWS, and Terraform.
• Experience deploying predictive models into production.
• Collaborative mindset with clear and respectful communication.

Responsabilités

• 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.
• Improve platform quality and reliability.
• Collaborate with data and ML specialists to productionize models.
• Write clean, efficient, scalable code.
• Apply modern deployment and monitoring practices for ML systems.

Connaissances

Python

Rust

APIs

Cloud computing

Kubernetes

Outils

Kubernetes

ArgoCD

AWS

Terraform

Description du poste

Company Description

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. If you're passionate about innovation and pushing entertainment boundaries, join our journey and help create the unknown!

Job Description

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.

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.

This role combines applied research and software engineering, with a strong focus on production deployment.

What you'll do

• 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
• Improve platform quality and reliability
• Contribute to exploratory projects testing new data and machine learning approaches
• Write clean, efficient, and maintainable code designed for scale
• Apply modern deployment and monitoring practices for machine learning systems
• Collaborate closely with data and machine learning specialists to bring models into production

Qualifications

• Strong skills in software development or data engineering, using Python or Rust
• Experience designing and consuming web service APIs
• Practical knowledge of cloud environments and containerized systems (Kubernetes, ArgoCD, AWS, Terraform)
• Ability to connect high level vision with technical details
• Collaborative mindset with clear and respectful communication
• Working knowledge of machine learning, including advanced models
• Experience deploying predictive models into production
• Familiarity with large scale data processing tools or platform operations, an asset