Remote Senior ML Infrastructure Engineer – Senior | RemoteAI

Remote Senior ML Infrastructure Engineer – Senior | RemoteAI T Senior ML Infrastructure Engineer Tanya Osei Full-time · Senior · Chicago Report this job Apply Now About the role We are a two-sided marketplace for skilled trades — connecting homeowners with vetted electricians, plumbers, and HVAC technicians in 38 metropolitan areas. We have 2.1 million registered homeowners and 48,000 active trade professionals. The network effects are real: a denser supply side in a market makes the demand side convert better, which brings more demand, which makes supply more profitable, which attracts more supply. Our ML systems sit inside that loop. Ranking, matching, quality scoring, fraud detection, and dynamic pricing all feed into marketplace health metrics that we watch the same way an airline watches load factor. We are looking for a Senior ML Infrastructure Engineer to own the serving layer for the 12 models currently in production and the platform that the data science team uses to deploy new ones. The problems are practical: latency SLAs, model freshness guarantees, feature store reliability, and the kind of operational rigour that keeps a marketplace from degrading quietly over a weekend when no one is watching. Responsibilities - Own the model serving infrastructure for 12 production models, maintaining latency SLAs and uptime targets - Build and maintain the real-time feature pipeline serving ranking and matching models - Design and implement a feature store supporting both real-time serving and offline training data access - Define and track ML infrastructure SLOs — latency, freshness, error rate — with dashboards and automated alerting - Work with data scientists to establish deployment standards and reduce time from model approval to production Requirements - 6+ years of platform, MLOps, or data engineering with at least two years supporting a high-traffic production ML system - Kubernetes for multi-tenant ML serving — you've managed resou