MLops Engineer

Game Intelligence, Programming, Malmö

Job Description
We’re looking for a Machine Learning Operations Engineer to join our Game Intelligence Department, to help us continue enabling advanced data processing solutions, that contribute making better games within our world class videogame studio.

As a MLOps Engineer, you’ll be responsible for designing, implementing and maintaining data pipelines and infrastructure for ML models industrialization, together with corresponding data pipelines, data analysis and performance monitoring tooling. It includes developing solutions and tooling for monitoring ETLs, data quality and ML models performance, as well as troubleshooting and fixing issues.

You’ll collaborate with Data Scientists, Data Engineers, Game Analysts, Ubisoft tech providers teams and IT Support, to understand the needs and propose robust, player-facing operational ML solutions that answers the business requirements, in a complex technical environment.

Some of the areas you’ll be focusing on are:

• Supporting the game intelligence ETLs & infrastructure needs for game productions;
• Developing tools, libraries and frameworks to enable ML-based use cases running smoothy in production environment;
• Industrialize prototypes of advanced data processing solutions developed in the team

We’re offering 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. Please apply using English, our company’s primary language.
Qualifications
What You’ll Do

• Create and maintain optimal data pipelines and ML models management solutions in an industrialized setup, in collaboration with Massive and Ubisoft data and infrastructure teams. Improve pre-existing solutions, and whenever applicable, manage their re-engineering through structured transitioning.
• Lead the assembly of large datasets and high-performance ML models from heterogeneous data sources, fulfilling business, technical and performance constraints.
• Identify, design, implement and maintain monitoring tools, CI/CD automation pipelines, industry-grade unit tests or any relevant solution helping to ensure data quality, robustness, and resilience. Perform related incident investigations.
• Participate in industrialization of prototypes developed by the team, into scalable, robust solutions used by internal/external clients or applications.
• Contribute to defining the Game Intelligence dept’s data and MLOps infrastructure, standards and processes, in collaboration with other teams within the department, production teams, as well as Ubisoft-wide solutions teams.
• Work with stakeholders including the Management, Data Engineers, Analysts and Scientists, to assist with technical issues and support infrastructure needs.
• Stay connected with ongoing trends and technologies in your area of expertise, advocating for new and reliable solutions, promoting best practices at dept level.
• Communicate in a clear way all findings, situations and solutions to stakeholders, enabling effective decision-making.
• Contribute to the documentation of all processes, ETLs, ML models engineering, reports and tools, within the centralized dept documentation repository.
• Create and maintain optimal data pipelines and ML models management solutions in an industrialized setup, in collaboration with Massive and Ubisoft data and infrastructure teams. Improve pre-existing solutions, and whenever applicable, manage their re-engineering through structured transitioning.
• Lead the assembly of large datasets and high-performance ML models from heterogeneous data sources, fulfilling business, technical and performance constraints.
• Identify, design, implement and maintain monitoring tools, CI/CD automation pipelines, industry-grade unit tests or any relevant solution helping to ensure data quality, robustness, and resilience. Perform related incident investigations.
• Participate in industrialization of prototypes developed by the team, into scalable, robust solutions used by internal/external clients or applications.
• Contribute to defining the Game Intelligence dept’s data and MLOps infrastructure, standards and processes, in collaboration with other teams within the department, production teams, as well as Ubisoft-wide solutions teams.
• Work with stakeholders including the Management, Data Engineers, Analysts and Scientists, to assist with technical issues and support infrastructure needs.
• Stay connected with ongoing trends and technologies in your area of expertise, advocating for new and reliable solutions, promoting best practices at dept level.
• Communicate in a clear way all findings, situations and solutions to stakeholders, enabling effective decision-making.
• Contribute to the documentation of all processes, ETLs, ML models engineering, reports and tools, within the centralized dept documentation repository.

Sounds good?
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