Ubisoft Jobs

Software Engineer – MLOPS
Ubisoft —Montréal, QC
- Full-time
- AWS
- Machine learning
- APIs
Quick apply
12h
Community Developer - March of Giants
Ubisoft —Montréal, QC
- Full-time
- Travel
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3d
Principal Technical Designer
Ubisoft —Montréal, QC
- Full-time
- Scripting
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Programmeur·euse Outils - Quality Foundation
Ubisoft —Montréal, QC
- Full-time
- DevOps
- SQL
- Continuous improvement
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Développeur principal ou développeuse principale logiciel (Online services - player identity)
Ubisoft —Montréal, QC
- Full-time
- Computer Science
- DevOps
- AWS
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2d
Concepteur.trice technique principal.e
Ubisoft —Montréal, QC
- Full-time
- Analysis skills
- Scripting
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Machine-Learning Programmer
Ubisoft —Montréal, QC
- Full-time
- AWS
- Machine learning
- APIs
Quick apply
1d
Marketability Director
Ubisoft —Montréal, QC
- Full-time
- Bilingual
- English
- Bachelor's
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1d
Directeur·rice - Positionnement et stratégie produit
Ubisoft —Montréal, QC
- Full-time
- Bilingual
- English
- Bachelor's
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1d
Développeur·euse logiciel en exploitation de modèles d’apprentissage automatique
Ubisoft —Montréal, QC
- Full-time
- English
- Machine learning
- Software development
Quick apply
12h

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Software Engineer – MLOPS

Ubisoft -
Montréal, QC

Quick apply

Job details

Full-time
12 hours ago

Qualifications

Rust (programming language)
Kubernetes
AWS
Machine learning
Terraform
APIs
Web services
Python

Full job description

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

What you bring to the team

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

Additional Information

Your CV highlighting relevant skills and experiences
Links to projects, code repositories, or systems you have contributed to

Quick apply

Refine Your Search

Software Engineer – MLOPS

Community Developer - March of Giants

Principal Technical Designer

Programmeur·euse Outils - Quality Foundation

Développeur principal ou développeuse principale logiciel (Online services - player identity)

Concepteur.trice technique principal.e

Machine-Learning Programmer

Marketability Director

Directeur·rice - Positionnement et stratégie produit

Développeur·euse logiciel en exploitation de modèles d’apprentissage automatique

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