Who We AreAeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit willBuild and maintain data pipelines to ingest field data (rosbags, sensor logs, telemetry) from our fleetConvert raw field data into curated, versioned datasets for the perception team and own dataset management - storage, indexing, querying, and vending datasetsSet up training workflows and optimize cloud costsBuild tooling to accelerate perception engineers' workflows - quick data access, reproducible experiments, automated evaluation pipelinesGenerate metrics and diagnostics to track dataset health, model performance,



and pipeline reliabilityYou haveBachelor's or Master's degree in Computer Science, Robotics, Data Engineering, or a related fieldStrong Python proficiency and working knowledge of ROS2Working knowledge of docker and other DevOps toolsFamiliarity with cloud storage and compute (AWS - S3, EC2, etc.)Understanding of ML workflows and dataset versioningWe PreferMaster's in Computer Science, Robotics, or a related discipline2+ years of MLOps or data infrastructure experience, ideally in robotics or autonomous systemsExperience with Weights & Biases, rosbag data, and large-scale sensor datasetsWorking knowledge of C/C++Experience supporting perception or ML research teamsPlease note this role will be based onsite in Toronto#J-18808-Ljbffr

📌 Software Engineer, Ml Ops (Toronto)
🏢 AeroVect Technologies
📍 Toronto