Director of MLOps at Manulife leading AI deployments and scalable solutions in Canada. Architecting MLOps capabilities to ensure governance and reusable AI solutions across segments.
About the role
- Join AeroVect as a Software Engineer focusing on ML Ops. Develop AI models and systems for autonomous ground handling in Toronto.
Responsibilities
- Participate in developing 2D/3D deep learning models
- Develop a secondary perception system for redundancy
- Generate metrics and diagnostics about individual modules in the stack
Requirements
- Bachelor’s or Master’s degree in Computer Science, Robotics, Deep Learning, or a related field.
- Understanding of sensing, preprocessing, detection, tracking modules.
- Python, C/C++ and ROS2 proficiency
- Quick learning skills and high bias for action
- Masters in Computer Science, Robotics, or a related discipline.
- 2+ years of focused perception stack experience
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