Machine Learning Engineer - Fraud detection

Job Description

Ubisoft is natively data-driven: from the core of our games to our marketing actions, we're leveraging data and algorithms.

Part of the Ubisoft Data Office, the role of the Consumer Data Domain is to leverage data to improve the consumer experience engaging them all along their journeys while making sure they feel safe and cared for.

Your role:

Build scalable machine learning systems to preserve the trust and safety of our users. Our motto is to never stop at the prototyping phase by combining research and engineering cycles with the objective to deploy production-grade products.

In that context, we're looking for a Machine Learning Engineer with past practical experience, ideally in the field of anomaly / fraud detection.

Missions:

The archetypal missions for this position would be to:

• Take ownership over the projects you build and push them ahead.
• Evaluate new machine learning techniques and models, implementing them from scratch if needed.
• Write, optimize, and produce high quality code that can run at scale, using modern best practices (MLOps).
• In collaboration with data and software engineers, ship models or prediction pipelines to production in our internal or public cloud infrastructures.