ML Engineer
Core
End-to-end ownership of machine learning models, specifically recommender systems, to enhance game features and player experience in social casino mobile games.
Role type
Senior Machine Learning Engineer (MLOps)
Builds
Production ML models, monitoring systems, and experimentation pipelines for social casino games
Domain
Gaming / Social Casino / Mobile Apps
Deliverable
production ML models
Required skills
Recommender systems, Python, SQL, ML libraries (scikit-learn, PyTorch/TensorFlow, XGBoost), experiment tracking (MLflow, Weights & Biases), model monitoring, cloud platforms (GCP, AWS, Azure), Docker, Airflow
Preferred skills
Snowflake, Generative AI (LLMs), RAG systems, agentic AI frameworks (LangChain, CrewAI), Streamlit
Technologies
MLflow, Weights & Biases, Streamlit, GCP, AWS, Azure, Docker, Airflow, Snowflake
Responsibilities
Design, train, evaluate, and retrain ML models; define model performance monitoring metrics and thresholds; establish model versioning and experiment tracking; create templates for model handoff; build training and feature-engineering pipelines; develop simple interfaces to expose ML capabilities
Seniority
Senior, hands-on IC