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 Strong 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.
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Machine Learning Platform Engineer in Toronto employer: Homebase, Inc.
At Homebase, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and grow. As a Full Stack Senior Software Engineer in Toronto, you'll enjoy the benefits of hybrid work, collaborative team environments, and opportunities for professional development while working on cutting-edge AI projects that make a real impact. Join us to be part of a forward-thinking company that values your contributions and supports your career journey.
