Machine Learning Engineer
Core
Build and deploy production ML models for hotel operations including pricing, occupancy forecasting, guest personalization, and fraud detection.
Role type
Machine Learning Engineer
Builds
AI-powered hotel revenue forecasting, dynamic pricing, occupancy prediction, recommendation engines, and anomaly detection systems
Domain
Hospitality technology / Machine Learning
Deliverable
production ML models
Required skills
Python, Scikit-learn, XGBoost, LightGBM, CatBoost, Feature Engineering, Hyperparameter Tuning, FastAPI, Docker, PostgreSQL, MongoDB
Preferred skills
PyTorch, TensorFlow, Time Series Forecasting, Recommendation Systems, NLP, LangChain, Kubernetes
Technologies
FastAPI, Flask, Docker, AWS, PostgreSQL, MongoDB, Celery, Redis, Kubernetes
Responsibilities
Design, build, train, evaluate, and deploy ML models; develop prediction models for occupancy and revenue; build recommendation engines; develop anomaly detection models; optimize models using tuning and cross-validation; build scalable inference APIs; deploy and maintain ML services; monitor model performance in production.
Seniority
Junior to Mid-level, hands-on IC
