MLops Engineer Game Intelligence

Were 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 youll 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. 

Youll collaborate with Data Scientists Data Engineers Game Analysts Ubisoft tech providers teams and IT Support to understand the needs and propose robust playerfacing operational ML solutions that answers the business requirements in a complex technical environment. 

Some of the areas youll be focusing on are: 

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

Were offering a permanent position in Malm 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 companys primary language. 
 

What Youll 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 preexisting solutions and whenever applicable manage their reengineering through structured transitioning. 
• Lead the assembly of large datasets and highperformance ML models from heterogeneous data sources fulfilling business technical and performance constraints. 
• Identify design implement and maintain monitoring tools CI/CD automation pipelines industrygrade 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 depts data and MLOps infrastructure standards and processes in collaboration with other teams within the department production teams as well as Ubisoftwide 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 decisionmaking. 
• Contribute to the documentation of all processes ETLs ML models engineering reports and tools within the centralized dept documentation repository. 

Qualifications :

What youll bring 

Youre motivated by how big amounts of data efficient ML operations and productiongrade code can support prelaunch or live games and comfortable in a variety of ML frameworks and technologies. Youre interested in video games and are motivated by collaborating with a team for highquality 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 productions needs. 

Besides the above were 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 largescale 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 CICD 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 masters 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 

Additional Information :

Ubisofts 19000 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 Assassins 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 gamechanging challenges cutting edge technologies and pushing the boundaries of entertainment we invite you to join our journey and help us create the unknown. 

You can also find a summary of the Massive Job Perks here. 

Questions Were more than happy to answer them! Please contact Paula Roese Mesquita

All your application information will be kept confidential according to EEO & GDPR guidelines. 

Remote Work :

No

Employment Type :

Fulltime