Ubisoft is committed to enrich players' lives with original & memorable entertainment experiences. We build worlds that are a playground for the imagination, offering moments of surprise, fun and adventure as well as opportunities for learning and self-discovery.
At Ubisoft, you'll grow and collaborate with highly talented teams from around the world. Our massively friendly work environment will inspire you to go above and beyond to create worlds people will fall in love with.
Ubisoft is natively data-driven: from the core of our games to our marketing actions, we’re leveraging data and algorithms.
To support the growth and maturity of our applied Machine Learning and Advanced Analytics projects, we’re growing a Data & Machine Learning Engineering team. Its role is to tandem with the Data Science teams, and build services, workflows, tools to lead projects from the early concepts to prototypes, and from prototypes to a scalable production-level implementation.
To create and lead this initiative to success, we’re looking for a Group Manager – Data & Machine Learning Engineering.
Your role will be to manage, hire, structure, a team composed of approx. 10 Data Engineers and Software Engineers. Its core missions will be:
We’re looking for an entrepreneur mindset ; a will to build things from the ground up in a collaborative and fast-paced environment ; on top of your management role, you will be asked to :
The position requires mandatory and significant experience in a similar technical role, including shipping Cloud Native software, as a Team Lead, Manager, or equivalent.
o Languages : Python, Rust, Go, Java, C#, C++
o Data Engineering, Back End, Processing and CI/CD: Kafka, GraphQL, Airflow, Jenkins, Docker, Kubernetes, Terraform, Ansible, Octopus.
o Frameworks or libraries: Spark, ML (Tensorflow, Keras, etc), NLP (DialogFlow, Luis, etc),
o Databases, storages and warehousing: SQL (Teradata, SQL Server, Postgre), NoSQL (Hive, Mongo) or specialized (ElasticSearch, Graph, Druid, Redis)
o Front-end : Angular, React, D3.js
Position to be filled as soon as possible.Based in Montreuil-sous-Bois, accessible via metro line 1 (St-Mandé stop) or line 9 (Porte de Montreuil stop).