Ubisoft
Software Engineer – MLOPS
Montreal, QC, Canada · On-site · Full-time
Apply on the employer’s site ↗See how well you match this job
You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.
About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerUbisoft
- LocationMontreal, QC, Canada
- Work styleOn-site
- Employment typeFull-time
- Employer posted
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
Show full description
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
- Your CV highlighting relevant skills and experiences
- Links to projects, code repositories, or systems you have contributed to
Check your resume against this job Free, no sign-up. Nothing you paste is stored.
Staying safe while you apply
- Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
- Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
- Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.
Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.
Preparing for this role with ROLIVA
- Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
- Prepare honestly.
Build interview stories and application drafts from your own evidence.
- Keep track.
Save the role and record your own application status and follow-ups.
Software engineer jobs in Montreal
ROLIVA currently lists 26 open roles like this in Montreal.
Employers hiring for this
- Unitytech10 open roles
- AppDirect5 open roles
- Autodesk3 open roles
- Morgan Stanley2 open roles
- RELX2 open roles
At a glance
- Work styleOn-site
- Employment typeFull-time
- SeniorityMid level
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.