Advance Homebase’s AI capabilities through MLflow, feature stores, and LLM serving. Collaborate in person at the Toronto hub Tuesdays and Wednesdays. This Data and ML Platform Engineer role focuses on foundations that move machine learning proofs of concept into production. You will evolve feature stores, support MLflow, build gRPC serving services, and transition batch workloads toward real-time inference. The role also connects data ingestion, platform reliability, and product engineering needs.

Key Responsibilities
- Move batch workloads toward real-time inference
- Make LLM latency and costs visible
- Take data science proofs of concept into production
- Build, test, and operate with AI-assisted tools
- Partner across data and product engineering teams

Requirements:
- Experience with MLflow and feature stores
- Experience serving large language models
- Robust Python and SQL skills
- AI tool experimentation within engineering workflows
- Clear communication across technical and non-technical teams Use ML platform engineering, real-time inference, and AI fluency to strengthen Homebase products serving small businesses.

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