Senior Software Engineer - Machine Learning

Ubisoft

Saint-Mandé, France

JOB DESCRIPTION

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 Software Engineer with past practical experience, ideally in the field of machine learning.

Missions:

The archetypal missions for this position would be to:

Take ownership over the projects you build and push them ahead.
Design, prototype, build and maintain microservices & APIs that deliver data and models to teams and projects across Ubisoft.
Build pipelines and batch processes that move and transform data.
Build and manage a scalable infrastructure in the cloud.
Participate in the decisions and implementations to improve the platform’s quality while be a key member.
Participate in proof-of-concept projects to advance understanding of new data and ML related technologies, while furthering your own knowledge and skills as well.
Write, optimize, and produce high quality code that can run at scale, using modern best practices (MLOps).
In collaboration with data and machine learning engineers, ship models or prediction pipelines to production in our internal or public cloud infrastructures.

QUALIFICATIONS

Whether you’re a software engineer who loves Machine Learning, or a research person that loves engineering, the key traits needed for this role are:

Experience in Software/Data engineering, or a related field with a solid experience either Python, Rust.
Experience building and interacting with REST APIS and familiarity with the principles of microservice architecture and APIs design.
Previous experience using cloud technology, Kubernetes, AWS/Azure.
Ability to navigate between the big picture and the micro details.
A capacity to work collaboratively, with good communication skills to discuss with colleagues.
Knowledge of Machine learning (& Deep Learning).
Experience deploying models to production.
If you have other experiences related to Databricks, DevOps, Big Data Processing, it will be considered an asset to the position.
Strong communication skills (English mandatory).

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