Senior Machine Learning Engineer
Core
Building and owning the MLOps infrastructure (feature stores, model deployment pipelines, serving layers) that enables real-time demand forecasting and recommendations for 8,000+ restaurants.
Role type
Senior Machine Learning Engineer (MLOps & Infrastructure)
Builds
Production ML systems for demand forecasting, affinity modelling, and actionable recommendations for restaurant operators.
Domain
Food & Drink / Hospitality Tech
Deliverable
production ML models
Required skills
Python, production software engineering, MLOps, Databricks, feature store design, AWS services, API design, time-series forecasting literacy, AI tooling (agentic workflows, AutoML)
Preferred skills
LLM/RAG/vector-DB infrastructure, building feature stores from scratch, hospitality/retail domain experience, E-shaped generalist breadth
Technologies
Databricks, AWS, Python, LLMs, Vector DBs
Responsibilities
Stand up and harden the feature store; own the model deployment pipeline end-to-end; build and maintain the Databricks experimentation environment; design and operate serving APIs; productionize new modelling approaches; build infrastructure for variance attribution and explainability; push AI-first workflows.
Seniority
Senior, hands-on IC
