Machine Learning Engineer

Reality Games; El Realito; On-site; MXN 839,000 - 1,119,000; Full time

Job summary

Reality Games in Krakow is seeking a Machine Learning Developer to join our analytics team in a full-time in-office role. You will design and deploy ML models that power gameplay features and player experiences.

Work with data scientists, designers, and engineers to integrate ML solutions, build scalable data pipelines, and leverage cloud-based ML services while maintaining data security and compliance. Requirements include 2+ years building ML systems, strong Python, experience with

Qualifications

• At least 2 years building machine learning systems.
• Strong programming skills in Python or a similar language.
• 1+ year experience with TensorFlow, PyTorch, or Scikit-learn.
• Experience with Spark or Hadoop for big data processing.
• Experience with cloud-based ML services (SageMaker, GC AI Platform).
• Excellent English communication.

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

Skills

Python

ML Frameworks

Big Data

Cloud ML

English

ML Systems

Job description

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!

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

• 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

Why Join Us?

• 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
  If you are passionate about gaming and eager to contribute your machine learning expertise to a groundbreaking project, we want to hear from you.