ML Engineer — Gaming AI & Big Data (Krakow Office)

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

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