ML Engineer: Demand Forecasting & Recommenders (Remote)

A cutting-edge B2B startup is seeking a Machine Learning Engineer to enhance their smart shopping assistant. The ideal candidate will have at least two years of experience in machine learning with strong skills in Python and PySpark. Focus areas include demand prediction, model optimization using Databricks, and lifecycle management with MLflow. This role offers a modern tech stack and a flexible remote/hybrid working culture, allowing you to significantly impact thousands of customers' weekly grocery experiences.#J-18808-Ljbffr