Lead ML Engineer - Databricks Feature Store, Forecasting & Agentic AI (Remote-EMEA)

Full Description

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.