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Machine Learning Engineer - Monopoly World

REALITY GAMES POLSKA Sp. z o.o.

Kraków, Stare Miasto
90–130 zł netto (+ VAT) / godz.
Praca stacjonarna
Kontrakt B2B
💼 Kontrakt B2B
🏢 Praca stacjonarna
Pełny etat
TensorFlow
PyTorch
scikit-learn

About the project

  • 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.

Your 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

Our requirements

  • At least 2 years of experience in designing and building machine learning systems
  • Strong programming skills in Python or a similar language
  • At least 1 year of experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Experience with Big Data technologies such as Apache Spark or Hadoop
  • Experience with cloud-based machine learning services, such as Amazon SageMaker or Google Cloud AI Platform
  • Very good command of English

Technologies we use

What we offer

  • Leader’s support – Get mentorship, feedback, and career growth guidance

  • Knowledge sharing – We invest in employee development

  • Fast-paced career – Clear growth opportunities with performance reviews

  • Top-notch equipment – Get the right tools for your job

  • Beautiful office – Spacious, creative workspace in the city center

  • Flexible hours – Whether you prefer early mornings or late evenings, we accommodate your schedule

  • Open kitchen – Enjoy coffee, juices, fruits, a stocked fridge, and more

  • Team gatherings – Connect with colleagues over pizza, games, and great company

Aufrufe: 1
Veröffentlichtvor 4 Tagen
Läuft abvor etwa 2 Stunden
Art des VertragsKontrakt B2B
ArbeitsmodusPraca stacjonarna
Quelle
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