Sénior Machine Learning Engineer - Fraud detection
Ubisoft
- Saint-Mandé, Val-de-Marne
- CDI
- Temps-plein
- 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.
- Strong Python programming skills.
- Knowledge of Machine learning (& Deep Learning) frameworks.
- Experience with anomaly detection, unsupervised and/or semi-supervised learning is a strong plus.
- Experience in using Machine Learning to understand and predict consumer behavior is a plus
- A “try hard, fail fast” mindset: research is evolving fast, and no one can know all the subfields of Machine Learning by heart. But we are never afraid to throw a punch at a new paper or an open-source repository with messy code, and so shouldn’t you be.
- Experience deploying models to production.
- Strong communication skills (English mandatory).
Profit Sharing, yearly company saving plan. 25 paid time off + 12 additional paid days off. 50% of your Navigo pass is paid by the company, lunch vouchers (9€/day), healthcare for you and your family, and lots of Ubisoft additional perks.
Our brand new office is located in Saint Mandé, (Metro line 1, Saint Mandé station). Gym available in the building. Ability to work remotely.Additional Information
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, you can come as you are. We embrace diversity in all its forms. We’re committed to fostering a work environment that is inclusive and respectful of all differences.Check out to help you with your application, and learn about our actions to encourage more diversity and inclusion.