Machine Learning Engineer

This role is central to enhancing everyday intelligence in connected systems by building robust pipelines that analyze temporal behavior, identify anomalies, and trigger intelligent alerts. The position involves designing, developing, and deploying machine learning models for detecting anomalies in time-series data from connected devices. It requires collaboration with data engineering and platform teams to ensure real-time model inference, stream processing, and alert triggering while managing and mentoring a team of applied AI and full-stack engineers.