Software Engineer – MLOPS

Ubisoft is hiring a Software Engineer – MLOPS in Montreal, Canada. Level rates it ; you can apply on Ubisoft.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include MLOps.
Level lists 326 other open roles at Ubisoft.

AI in this role

ml-ops

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!

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

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

How we rate this

Software Engineer – MLOPS at Ubisoft rates 16 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.