Mlops Software Engineer Robotics

Build robotics data infrastructure with Python and ROS2 at AeroVect, working onsite in Toronto to support autonomous ground-handling systems.As a Software Engineer focused on MLOps, you will manage field data and enable perception development. The work combines data pipelines, cloud infrastructure, dataset versioning, and machine learning workflows. AeroVect serves major airlines and ground handling providers through autonomous technology.Key Responsibilities:
Build and maintain pipelines ingesting rosbags, sensor logs, and telemetryConvert field data into curated, versioned datasetsManage dataset storage, indexing, querying, and vendingSet up training workflows and optimize cloud costsGenerate metrics for dataset health and pipeline reliabilityRequirements:
Bachelor's or Master's degree in a related technical fieldStrong Python proficiency and working knowledge of ROS2Working knowledge of Docker and other DevOps toolsFamiliarity with AWS S3, EC2, and cloud computingUnderstanding of ML workflows and dataset versioningApply Python, ROS2, cloud infrastructure, and dataset versioning to advance AeroVect's autonomous systems in Toronto.
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