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 telemetry
Convert field data into curated, versioned datasets
Manage dataset storage, indexing, querying, and vending
Set up training workflows and optimize cloud costs
Generate metrics for dataset health and pipeline reliability
Requirements: Bachelor's or Master's degree in a related technical field
Solid Python proficiency and working knowledge of ROS2
Working knowledge of Docker and other DevOps tools
Familiarity with AWS S3, EC2, and cloud computing
Understanding of ML workflows and dataset versioning
Apply Python, ROS2, cloud infrastructure, and dataset versioning to advance AeroVect's autonomous systems in Toronto.

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📌 MLOps Software Engineer Robotics (Ontario)
🏢 AeroVect Technologies
📍 Ontario