ML Engineer — AI & Operations Research (all genders)
Core
Formulate and solve mathematical optimization problems (MILP, stochastic models) to maximize hotel Gross Operating Profit (GOP) for group and event bookings.
Role type
Senior Operations Research Engineer (Mathematical Optimization) (via careerplan.io/jobs/2707813-ml-engineer-ai-operations-research-all-genders-at-myhotelteam-gmbh)
Builds
Production pricing systems for group business, demand forecasting layers, and analytical insight tools for revenue directors.
Domain
Hospitality revenue management / Mathematical Optimization
Deliverable
production ML models
Required skills
Mathematical optimization (LP/MILP), industrial solvers (Gurobi/CPLEX/OR-Tools), Python, statistical modeling and forecasting, reproducible experimentation
Preferred skills
Stochastic/robust optimization, decision-focused optimization, Databricks/Spark, hospitality domain experience
Technologies
Gurobi, CPLEX, OR-Tools, Python, Databricks, Spark
Responsibilities
Formulate mixed-integer programs for room-block and function-space allocation; build demand forecasting and conversion probability models; generate counterfactual analysis and what-if simulations; establish methodological standards for production optimization.
Seniority
Senior, hands-on IC
