Machine Learning Engineer
Core
Extract value from data by crafting, deploying, and maintaining tailored machine learning models for player behavior prediction, personalized recommendations, and dynamic content generation.
Role type
Machine Learning Engineer
Builds
Production ML models for player behavior prediction, personalized recommendations, and dynamic content generation
Domain
GameTech / Online Entertainment
Deliverable
production ML models
Required skills
Python, SQL, PySpark, Scikit-learn, TensorFlow, PySpark, classification algorithms, clustering algorithms, regression algorithms, GenAI, recommender systems, MLOps, CI/CD pipelines
Preferred skills
Databricks, MLFlow, Deep Learning (NNs), LLMs, NLP techniques, Generative AI
Technologies
Python, SQL, PySpark, Databricks, Azure Data Factory, Scikit-learn, TensorFlow, PyTorch
Responsibilities
Conduct data analysis and preprocessing using big data technologies; Evaluate and select machine learning algorithms; Design and build ML models for player behavior and recommendations; Develop scalable ML pipelines; Deploy and monitor models in production; Collaborate with software engineers and product managers; Iterate and improve models based on feedback.
Seniority
Mid-Senior (4+ years experience)