Supy is a global B2B SaaS platform revolutionizing hospitality. We help restaurant groups make smarter decisions on inventory, procurement, and operations through our agentic AI layer, fully governed in Databricks.

We’re looking for a Lead ML Engineer to own our feature and forecasting platform, train and serve models, and integrate them with our router-based agents. If you have deep experience in Databricks, time-series forecasting, ML/DL models, and agentic AI, this could be your next challenge.

What you’ll do:

• Design reusable Feature Tables in Unity Catalog for demand, inventory, pricing, and customer signals.
• Build probabilistic, hierarchical forecasts and deploy models via Databricks Model Serving.
• Integrate features and forecasts into agent workflows (RAG, tool-calling).
• Ensure governance, safety, and observability across ML pipelines.
• Mentor engineers and co-own reliability and incident response.

Required expertise:

• Production Databricks: Delta Lake, MLflow, Model Serving, Feature Tables, Vector Search
• Forecasting & ML: GBMs, TFT, DeepAR, ARIMA, Prophet, hierarchical and intermittent demand
• Strong PySpark/Spark SQL & Python skills
• Experience collaborating closely with data engineers

Nice to have:

• Agent orchestration frameworks (LangChain, LangGraph, LangSmith)
• Optimization/replenishment or production planning experience
• Hospitality or retail domain knowledge

Apply by: Email recruitment@supy.io

with subject: "Lead ML - Databricks Feature Store, Forecasting & Agentic AI" and a brief note on a production Databricks feature or forecasting system you shipped.