Machine Learning Operations Internship

Key Skills

Data Engineering, Data science techniques, Machine learning techniques, MLOps tools, Python Programming, Software Development, Unix Operating system

Job Description

• Duration: 6 months
• Format: Paid Internship
• Application period: April 19 - May 10, 2023 (until 12:00 am, UTC+3)
• Terms: 20 hrs/wk

Additional info: Preference will be given to candidates eligible to work in the Czech Republic (EU nationals and individuals holding a valid work/study visa).

Machine Learning Operations, or MLOps, is an emerging discipline that lives on the edge between Data Science and Machine Learning, Software- and Data-Engineering, and Operations of IT systems. Being an MLOps specialist requires a good understanding of all the above fields and a deeper specialization in at least one of them.

Working along with the members of the MLOps team (part of Wargaming's Business Intelligence's Data Science), you will get exposed to and will contribute to real-life projects, which include:

• Development and enhancements of in-house Python modules for data processing and intra-system communication
• Optimization of processing- and execution- pipelines to adhere to higher standards of data handling
• Optimization of the Data Science prototypes to reduce the computation time and resource footprint
• Configuration and enhancement of the scheduling and monitoring systems, etc.

With a wide variety and variability of possible subdisciplines, you can rest assured that, given your passion and skillset, you will focus on tasks that will let you grow professionally and give you the satisfaction that your contributions have had a direct impact on millions of players of our games.

What will you learn?

You will learn how to solve problems or mitigate risks arising in the context of development, deployment, maintenance, and monitoring of real-life Machine Learning projects at the scale of millions of predictions per day. You will gain or improve a wide range of skills ranging from simply contributing to a project via a git or squeezing the most out of the (existent) code in terms of computational efficiency to extending the in-house model quality monitoring system.

What will you get?

• Work experience on real projects in a leading global game development company with top-notch mentors’ support
• Opportunity to work flexible hours and combine them with studies
• Modern environment and access to multiple benefits
• Possibility for future hiring