Machine Learning Deployment Developer

Job 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

Ubisoft IT is looking for an Machine Learning (ML) Deployment Developer to join the Consumer Data Domain team which is part of the Ubisoft Data Office (UDO) department. This team's main mission is to leverage data to improve the consumer experience by engaging with all our users along their journey.

As a ML Deployment Developer within this team, you will be responsible for deploying and managing the infrastructure supporting scalable machine learning systems. You will also contribute to the implementation of microservices and associated APIs, helping to maintain the trust and safety of our users. You will ensure the delivery of high-quality products by integrating research and engineering cycles, from the prototyping phase to production.

Responsibilities:
• 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;
• Participate in proof-of-concept (POC) projects to advance your understanding of new data and Machine Learning related technologies;
• Write, optimize, and produce high-quality code that can run at scale, using modern best practices such as Machine Learning Operations (MLOps);
• Collaborate with data and machine learning engineers to ship models or prediction pipelines to production in our internal or public cloud infrastructures;
• Take ownership of the projects you build while ensuring they progress accordingly.

Qualifications
• Previous experience in Software/Data engineering, or a related field;
• Solid experience with programming languages such as Python, Rust, or Spark;
• Experience building and interacting with REST APIS and familiarity with the principles of microservice architecture and API design;
• Proficient experience using Kubernetes;
• Good experience using cloud technologies such as AWS and Azure;
• Experience deploying machine learning models to production.

Jobcode: Reference SBJ-gm79kx-3-148-115-187-42 in your application.