Senior AI/Machine Learning Engineer Game Intelligence
2 months ago
We are seeking a highly skilled Senior AI/Machine Learning Engineer to join our team at Ubisoft Entertainment. As a key member of our Applied AI team, you will play a crucial role in enabling the exploration of modern AI solutions to unlock opportunities during game development and in our live games.
As a Senior AI/Machine Learning Engineer, you will be responsible for designing, implementing, and maintaining advanced AI solutions, including corresponding data pipelines, data quality, and performance monitoring tooling. You will deploy these solutions in a wide range of target environments, with a focus on integration with our proprietary game engine Snowdrop.
You will collaborate with AI Scientists, Data Scientists, Data/MLOps Engineers, Game Analysts, User Researchers, Games Lab Moderators, and Ubisoft tech providers to understand business needs and propose robust AI solutions.
Key Responsibilities- Designing and implementing end-to-end AI solutions and pipelines, integrated in target specific architectures, to enable their effective industrialization.
- Improving performance of pre-existing AI solutions and pipelines, managing their re-engineering and smooth transitioning, if necessary.
- Building prototypes in controlled environments and data to perform quick iterations with stakeholders to improve, aiming for their productization.
- Communicating with stakeholders to understand and refine business needs, derive data science goals, success metrics, and tasks, and loop back learnings and feedback to support projects.
- Defining, implementing, and maintaining ETLs that assemble large and complex datasets from heterogeneous data sources.
- Contributing to defining and implementing best practices in terms of infrastructure, deployment pipelines, CI/CD tools, code quality, and unit tests.
- Documenting processes, modeling steps, ETLs, reports, and tools within the centralized department documentation repository.
To be successful in this role, you will need to have:
- Proven work experience in AI engineering, with a wide range of technical environments and machine learning techniques.
- Proficient in Python, SQL, and C++.
- Proficient with various cloud services and large-scale distributed architectures, such as Hadoop, Spark, AWS, and Azure.
- A master's degree in Computer Science, Data Science/AI/Machine Learning Engineering, or a similar field, or the equivalent work experience.
We offer a permanent position in Malmö, Sweden, with the flexibility to work partially from home (up to two days a week) under our Flexible Workplace Policy. We are a multinational team of over 750 passionate and highly skilled people from 50+ different countries, and we are committed to crafting the finest gaming experiences for all players.
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