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AI/ML Platform Machine Learning Engineer
3 months ago
Ubisoft is home to 19,000 dedicated professionals across more than 30 countries, united by a mission to enhance players' experiences through innovative and unforgettable gaming adventures. Our talented team has brought to life renowned franchises such as Assassin's Creed, Far Cry, Watch Dogs, Just Dance, and Rainbow Six. We are an equal opportunity employer, valuing diverse backgrounds and perspectives as essential to creating environments where both players and teams can flourish and express their creativity. If you are passionate about tackling transformative challenges, exploring cutting-edge technologies, and redefining entertainment, we welcome you to embark on this journey with us.
Team InsightsThe Data Platform Group, a vital part of the Ubisoft Data Office within our IT department, is responsible for developing and managing data services and tools that analyze game telemetry. Our offerings serve as a trusted resource across the company, providing real-time insights into player behavior and game interactions.
We prioritize knowledge sharing, transforming in-game data into clear, actionable visualizations. These insights empower production teams to make informed decisions that enhance the gaming experience. Our culture promotes collaboration, continuous learning, and agile methodologies, with a focus on standardizing processes throughout the machine learning lifecycle.
Position OverviewAs a Machine Learning Developer, you will oversee our Machine Learning/Artificial Intelligence (ML/AI) platform and operationalize various ML projects. Your expertise will assist teams in the creation, testing, and deployment of ML solutions aimed at improving safety, personalization, and scaling ML/AI applications across Ubisoft.
Key Responsibilities- Oversee and contribute to the industrialization of ML/AI initiatives, emphasizing the deployment and maintenance of pipelines and models in production.
- Design and implement services, tests, and interfaces that facilitate the deployment of ML projects.
- Play a pivotal role in the architecture of machine learning systems.
- Ensure the security, robustness, and performance of ML solutions during production deployments.
- Design and implement scalable, end-to-end, continuous, and automated deployment, monitoring, and versioning processes for ML models.
- Guide and support users in optimizing ML pipelines, becoming a subject matter expert on the Databricks platform.
- Mentor and engage with ML/AI practitioners across Ubisoft, sharing knowledge and best practices in ML operations.
- Participate in proof-of-concept projects to advance knowledge of emerging ML technologies.
- Strong understanding of both the overarching concepts and detailed aspects of Data Science/ML Engineering, with solid programming experience in Java, Scala, or Python.
- Experience in Machine Learning, Data Science, or a related discipline, with a focus on enhancing model and data quality, and a proven ability to build automated AI processes and manage large-scale data pipelines.
- Proficient in deploying models, establishing model validation, and operationalizing AI/ML systems at scale in production settings.
- Familiarity with ML concepts, tools such as MLFlow, and frameworks/libraries like Scikit-learn, PyTorch, and XGBoost. Experience with Databricks is advantageous.
- Knowledge of Big Data technologies—Spark, PySpark, data engineering, and pipeline architecture is essential.
- Foundational understanding of software engineering principles, with proficiency in DevOps tools and practices.
Please note: If you require a work permit, your eligibility may depend on your education and years of relevant work experience, as mandated by the government.
We recognize that skills and competencies can manifest in various forms and through different experiences; therefore, we strongly encourage you to apply even if you do not meet all the listed requirements.
At Ubisoft, we celebrate diversity in all its forms. We are committed to fostering an inclusive and respectful work environment for everyone. We understand the importance of providing a positive interview experience; if you need any accommodations, please let us know how we can assist in facilitating the interview process.
