Senior Machine Learning Engineer
Core
Building and scaling a forecasting system that makes half-hourly demand predictions for multiple restaurant chains to optimize kitchen prep and operational efficiency.
Role type
Senior Machine Learning Engineer (Production/Deployment)
Builds
A production forecasting system for restaurant chains
Domain
Food & Beverage / Time-series Forecasting
Deliverable
production ML models
Required skills
Production ML deployment, Python (ML/scientific stack), Client-facing deployment, AI development tools (Claude Code, Cursor, Copilot), Data validation, Model monitoring, UAT execution
Preferred skills
Forecasting, time-series, demand-planning, Lag features, Calendar effects, Evaluation integrity
Technologies
Python, scikit-learn, MLflow, Docker, GCP
Responsibilities
Own client launches end-to-end (data validation, model selection, UAT, go-live, monitoring), Join client calls to understand ground realities, Scale forecasting system from handful to hundreds of clients, Deploy models in complex environments with feedback loops
Seniority
Senior, hands-on IC