Machine Learning Engineer

16 hours ago


Stockholm, Stockholm, Sweden KAMBI Full time

About Kambi

We're a leading B2B provider of premium sports betting services to licensed gaming operators.

Our services provide an end-to-end solution for operators wanting to launch a standalone Sportsbook or bolster their existing offering with an innovative sports betting product.

We strive to deliver the ultimate service and solution to our partners, from front-end user interface to customer intelligence, risk management, and odds compiling.

Our vision is to create the world's leading sports betting experiences, together with our partners.

About Tzeract

Welcome to Tzeract – a startup of 20+ engineers within Kambi Group, revolutionizing sports betting with AI, advanced analytics, and real-time data.

We're a small, hybrid, agile team creating innovative technology that powers next-generation betting experiences.

With the backing of Kambi's global resources, we'll offer the opportunity to work on complex mathematical projects that scale across international markets.

Get to know us better at www.tzeract.com.

Role Overview

Do you get excited about math and statistics? In this role, you'll be key to developing and refining the models that drive our AI-powered odds compiling.

Your work will involve using machine learning and simulations to analyze sports data.

You'll also contribute to creating reliable, well-structured code and ensuring systems are optimized for performance.

Don't worry if you're not a sports fanatic – as part of a team that collaborates closely with data engineers and scientists, you'll apply your mathematical expertise to enhance algorithms and share ideas for improvements.

This role offers a mix of support and autonomy, requiring curiosity and initiative to solve complex problems.

What You'll Do
  • Collaborate with the engineering team to integrate algorithms into our production systems, ensuring they operate efficiently at scale.
  • Design, develop, and implement advanced mathematical models and machine learning algorithms for predictive analytics in sports betting.
  • Conduct statistical analysis to understand data patterns, validate models, and enhance accuracy.
  • Work with large-scale, real-time, and historical sports data sets, applying quantitative techniques to extract actionable insights.
  • Communicate complex quantitative analyses and concepts to non-technical team members to inform strategy decisions.

This role requires a strong foundation in mathematics and programming skills, with experience in machine learning and statistical modeling.

If you have a Master's degree in a quantitative field and relevant experience, we'd love to hear from you



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