Software Engineer – MLOPS

Company DescriptionUbisoft 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 DescriptionAs 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 doLead end to end projects, from design to real world usageDesign, develop, and maintain application services and APIs for data and model sharingBuild and operate large scale data processing pipelinesDeploy and manage scalable cloud infrastructuresImprove platform quality and reliabilityContribute to exploratory projects testing new data and machine learning approachesWrite clean, efficient, and maintainable code designed for scaleApply modern deployment and monitoring practices for machine learning systemsCollaborate closely with data and machine learning specialists to bring models into productionQualificationsWhat you bring to the teamStrong skills in software development or data engineering, using Python or RustExperience designing and consuming web service APIsPractical knowledge of cloud environments and containerized systems (Kubernetes, ArgoCD, AWS, Terraform)Ability to connect high level vision with technical detailsCollaborative mindset with clear and respectful communicationWorking knowledge of machine learning, including advanced modelsExperience deploying predictive models into productionFamiliarity with large scale data processing tools or platform operations, an assetAdditional InformationYour CV highlighting relevant skills and experiencesLinks to projects, code repositories, or systems you have contributed toContract: PermanentWork flexibility: Office-based