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.

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.

Qualifications
What you’ll bring
You’re motivated by how big amounts of data, efficient ML operations and production-grade code can support pre-launch or live games, and comfortable in a variety of ML frameworks and technologies. You’re interested in video games and are motivated by collaborating with a team for high-quality deliveries and support. You are curious by heart and thrive in finding new possible ways and solutions to enhance your work. You communicate efficiently and create trustful relations with your stakeholders, while focusing on production’s needs.

Besides the above we’re looking for someone aligned with our core values and the following skills and experience:

• Proven work experience in MLOps and data engineering, with a wide range of machine learning frameworks, and software engineering best practices
• Proficient in Python, SQL, PySpark
• Proficient with various cloud services and large-scale distributed architectures, examples of which are Hadoop or Spark; A ‘plus’ for experience with Databricks.
• Proficient with development / version control tools and IDEs such as Gitlab, VSCode, Docker, CI-CD, orchestration (Airflow), etc.
• Experience working with supervised & unsupervised ML algorithms, such as recommendation systems or clustering techniques
• Key analytic skills and video game data domain curiosity;
• A master’s degree in Computer Science, Machine Learning, Data Science, a similar field, or the equivalent work experience.
• Experience working within the game development industry, and interest or knowledge in games developed at Massive is beneficial

Sounds good?
Let us know
Apply now