THE ROLE
Your responsibilities:
- Build AI models using state-of-the-art techniques for analyzing esports data
- Test the applicability of these models and refine them as needed
- Collaborate with analysts and coaches to understand their needs and provide data-driven strategies
- Integrate successful models into the analytics platform for Team Liquid's League of Legends team
Why would you take this role:
- Opportunity to work with a leading esports team and gain industry experience
- Hands-on experience with data analysis and machine learning techniques
- Active involvement in the development and deployment of AI models for esports
- Exposure to industry-standard tools and technologies used in professional esports analytics
ROLE REQUIREMENTS
You are a student (f/m/d) at a university or a university of applied sciences. We’re looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and excel at applying the theory of university in the real world.
- Currently studying in a relevant field such as computer science, data science, or machine learning
- Strong programming skills, preferably in Python
- Familiarity with machine learning techniques and frameworks, such as TensorFlow or PyTorch
- Knowledge of statistics and data analysis techniques
- Basic understanding of the game League of Legends
- Ability to work independently and collaborate effectively with a team
- Strong problem-solving and analytical skills
Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former
employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.
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