Machine Learning Engineer

4 Months ago • All levels
Research Development

Job Description

Monopoly World is expanding globally and seeks a Machine Learning Engineer to join their team. This full-time, in-office position, based in Krakow, Poland, will report to the Head of Analytics. The role involves designing and optimizing machine learning models to enhance game features and player experience. Key responsibilities include implementing and maintaining data pipelines, collaborating with various teams to integrate ML solutions, improving system performance, and researching advancements in the field. The role also involves working with Big Data technologies, and ensuring data security and compliance.
Must Have:
  • Design, develop, and optimize machine learning models
  • Implement and maintain data pipelines for game data
  • Collaborate with data scientists and engineers
  • Improve performance and scalability of ML systems
  • Monitor, test, and fine-tune machine learning models

Add these skills to join the top 1% applicants for this job

data-analytics
game-texts
machine-learning

Monopoly World is going global, and we’re looking for top talent to join us on this exciting journey. This is your chance to work on a high-impact project that will reach players worldwide.

This role will report to the Head of Analytics. This is a full-time, in-office position based in the iconic railway station building in Krakow.

If you thrive on solving complex challenges, love working with cutting-edge technology, and want to be part of a team shaping the future of gaming, this opportunity is for you.

Join us in creating something truly innovative and make your mark on one of the most iconic games of all time.

Come build something incredible with us! Check out our trailer and see what’s in store! 🚀🎥


We Are Looking for a Machine Learning Developer to Join Our Team!

      
This role will report to the
Head of Analytics. This is a full-time, in-office position based in the iconic railway station building in Krakow.

Key Responsibilities:

  • Design, develop, and optimize machine learning models to enhance game features and player experience

  • Implement and maintain data pipelines for collecting, processing, and analyzing large-scale game data

  • Collaborate with data scientists, game designers, and engineers to integrate ML solutions into the game

  • Improve the performance and scalability of ML systems using cloud-based services

  • Monitor, test, and fine-tune machine learning models to ensure accuracy and efficiency

  • Research and apply the latest advancements in machine learning and artificial intelligence

  • Work with Big Data technologies to process and analyze complex datasets

  • Ensure the security and compliance of data used in machine learning applications

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