Machine Learning Developer

1 Month ago • All levels • DevOps • Research & Development

About the job

Job Description

Ubisoft IT is searching for a Machine Learning Developer to join their Consumer Data Domain team within the Ubisoft Data Office (UDO) department. This team focuses on leveraging data to enhance the consumer experience by engaging with users throughout their journey. As a Machine Learning Developer, you will be responsible for constructing scalable machine-learning systems to ensure user trust and safety. Your responsibilities will include designing, prototyping, building, and maintaining microservices & APIs that deliver data and models to various teams and projects across Ubisoft. You will also manage data pipelines and batch processes, build and maintain a scalable infrastructure in the cloud, participate in decisions and implementations to enhance platform quality, and contribute to proof-of-concept (POC) projects to expand your knowledge of emerging data and Machine Learning technologies. You will be responsible for writing, optimizing, and producing high-quality code that can scale effectively, adhering to modern best practices such as Machine Learning Operations (MLOps). Furthermore, you will collaborate with data and machine learning engineers to deploy models or prediction pipelines to production within both internal and public cloud infrastructures. You will assume ownership of the projects you build, ensuring their timely progress.
Must have:
  • Experience in Software/Data engineering or related fields
  • Proficiency in programming languages (Python, Rust, or Spark)
  • Experience building and interacting with REST APIs
  • Familiarity with microservice architecture and API design principles
  • Expertise in using Kubernetes
  • Experience with cloud technologies like AWS and Azure
  • Experience deploying machine learning models to production
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Company 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 a Machine Learning 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 Machine Learning Developer joining this team, you will be responsible for building scalable machine-learning systems to preserve the trust and safety of our users. You will also be responsible for deploying production-grade products by combining research and engineering cycles from the prototype phase to delivery.

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.

Additional Information

Just a heads up: If you require a work permit, your eligibility may depend on your education and years of relevant work experience, as required by the government.

Skills and competencies show up in different forms and can be based on different experiences, that is why we strongly encourage you to apply even though you may not have all the requirements listed above.

At Ubisoft, we embrace diversity in all its forms. We’re committed to fostering an inclusive and respectful work environment for all. We know the importance of providing a pleasant interview experience, therefore if you need any accommodation, please let us know if there is anything we can do to facilitate the interview process.

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About The Company

Ubisoft’s 21,000 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.

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