Software Engineer – MLOPS
Ubisoft
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What software roles keep asking for: AWS (24%), Python (23%), Java (23%), System design (20%), Kubernetes (18%), C++ (17%), Observability (16%), CI/CD (13%) — counted across their open postings here.
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Preparing for this interview
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Questions you are likely to be asked
- Why do you want to join Ubisoft?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the Software Engineer – MLOPS at Ubisoft interview free →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
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Listed on smartrecruiters · posted 2026-09-25. ApplySarthi collects openings and links to application pages; the role is advertised by Ubisoft, not by us.