Shape Homebase’s machine learning foundations with MLflow, feature stores, and real-time inference from the Toronto hub. Build platforms serving every data and AI feature.This Data and ML Platform Engineer role focuses on turning machine learning proofs of concept into production systems. You will evolve feature stores, strengthen MLflow practices, and build serving layers for models and data. Your work includes Python, SQL, Spark, Delta, Databricks, g RPC, and LLM latency and cost visibility.Key Responsibilities: Grow feature store and MLflow foundationsPartner with data science on production systemsMove batch workloads toward real-time inferenceMake LLM latency and cost visibleShare effective AI-assisted engineering practicesRequirements: Experience with MLflow and feature stores is beneficialStrong Python and SQL skillsHands-on Spark and Delta experienceExperience with container infrastructureAI fluency and experimentation with engineering toolsHelp deliver reliable machine learning infrastructure through serving systems, platform engineering, and practical collaboration with data science.#J-18808-Ljbffr

📌 Machine Learning Infrastructure Engineer (Toronto)
🏢 Homebase
📍 Toronto