Software Engineer – MLOPS

Job summary

You will design, develop, and maintain scalable application services and data processing pipelines to support machine learning models. Additionally, you will manage cloud infrastructure and collaborate with specialists to deploy predictive models into production environments.

Job details

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 Contract: Permanent Work flexibility: Office-based

What you’ll do

You will design, develop, and maintain scalable application services and data processing pipelines to support machine learning models. Additionally, you will manage cloud infrastructure and collaborate with specialists to deploy predictive models into production environments.

Requirements

The role requires strong software development or data engineering skills using Python or Rust, along with practical experience in cloud environments and containerized systems. Candidates should also possess knowledge of machine learning and experience in deploying models into production.

Listed skills

• Kubernetes · Preferred
• Machine learning · Preferred
• Rust · Preferred
• Amazon Web Services · Preferred
• Terraform · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Rust
• Kubernetes
• ArgoCD
• AWS
• Terraform
• Machine Learning
• Data Engineering
• Cloud Infrastructure
• API Development
• Data Processing
• Predictive Modeling
• Software Development
• Monitoring
• Deployment
• Argo CD
• Pipelines
• Rust (Programming Language)
• Application Programming Interface (API)
• Amazon Web Services
• Application Services
• Applied Research
• Communication
• Data Domain
• Scalability
• Innovation
• Python (Programming Language)
• Operations
• Software Engineering
• Web Services
• Reliability

Job areas

• Software
• Data & Analytics
• Technology
• Engineering
• Software Engineering Manager
• Software Developer / Engineer
• Software Developers