Description
AeroVect is hiring an MLOps/Data Engineer to build and maintain data pipelines for field data such as rosbags, sensor logs, and telemetry; convert and manage curated datasets; set up and optimize machine-learning training workflows; develop tooling for perception engineers; and generate metrics for dataset health, model performance, and pipeline reliability. The role requires a bachelor's or master's degree in a relevant field, strong Python and ROS2 skills, Docker and DevOps knowledge, cloud experience, and familiarity with ML workflows and dataset versioning. It is based onsite in Toronto.
