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.

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