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Machine Learning Developer AI/ML Platform

3 months ago

Montreal, Canada Ubisoft Full time
Company Description

Ubisoft’s 19,000 team members, working across more than 30 countries around the world, are bound by a common mission to enrich players’ lives with original and memorable gaming experiences. Their commitment and talent have brought to life many acclaimed franchises such as Assassin’s Creed, Far Cry, Watch Dogs, Just Dance, Rainbow Six, and many more to come. Ubisoft is an equal opportunity employer that believes diverse backgrounds and perspectives are key to creating worlds where both players and teams can thrive and express themselves. If you are excited about solving game-changing challenges, cutting-edge technologies, and pushing the boundaries of entertainment, we invite you to join our journey and help us create the unknown.

Job Description

About the team
The Data Platform Group, part of the Ubisoft Data Office within Ubisoft IT, develops and manages data services and tools for game telemetry. As a trusted company-wide resource, our products offer real-time insights into how Ubisoft titles are played and the habits of our players. We are dedicated to knowledge sharing—collecting, processing, and transforming in-game data into clear, informative visualizations. These meaningful metrics empower production teams to make informed decisions, enhancing gaming experiences. We foster collaboration, continuous learning, and agile practices, aiming to standardize processes across the ML lifecycle.

The Role
Join us as a Machine Learning Developer and help govern our Machine Learning/Artificial Intelligence (ML/AI) platform while operationalizing ML projects. Your expertise will support teams in creating, testing, and deploying ML solutions that enhance safety, personalization, and scale ML/AI usage across Ubisoft.

What You’ll Do
You'll automate and simplify ML workflows and deployments, blending software engineering with ML operations. Collaborate with Data Scientists, Software Developers, and other stakeholders to solve complex problems and deliver real-world value.

Responsibilities

  • Govern and contribute to the industrialization of ML/AI projects, focusing on deploying and maintaining pipelines and models in production.
  • Design and implement services, tests, and interfaces that support the deployment of ML projects.
  • Play a key role in the architecture of machine learning systems.
  • Ensure the security, robustness, and performance of ML solutions during production deployments.
  • Design and implement scalable end-to-end, continuous, and automated deployment, monitoring, and versioning processes for ML models.
  • Guide, collaborate, and support users in optimizing ML pipelines, becoming an expert on the Databricks platform.
  • Mentor and engage with ML/AI practitioners across Ubisoft, sharing knowledge and best practices in ML Ops.
  • Participate in proof-of-concept projects, advancing knowledge of new ML technologies.

Qualifications

  • Proficient in navigating both the big picture and detailed aspects of Data Science /ML Engineering, with a solid programming experience with either Java, Scala or Python.
  • Experience in Machine Learning, Data Science, or a related field, with a focus on improving model and data quality, with a proven ability to build automated AI processes and manage large scale data pipelines.
  • Experience in deploying models, setting up model validation and operationalizing AI/ML systems at scale in production environments.
  • Experienced with ML concepts, tools such as MLFlow, and frameworks/libraries like Scikit-learn, PyTorch, XGBoost. Experience with Databricks is considered an asset.
  • Knowledge in Big Data technologies — Spark, PySpark, data engineering, and pipeline architecture is essential.
  • Foundation in and understanding of software engineering principles, and proficient in DevOps tools and practices.

Additional Information

Just a heads up: If you require a work permit, your eligibility may depend on your education and years of relevant work experience, as required by the government.

Skills and competencies show up in different forms and can be based on different experiences, that's why we strongly encourage you to apply even though you may not have all the requirements listed above.

At Ubisoft, we embrace diversity in all its forms. We’re committed to fostering an inclusive and respectful work environment for all. We know the importance of providing a pleasant interview experience, therefore if you need any accommodation, please let us know if there is anything we can do to facilitate the interview process.

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