Computer Vision Engineer
Core
Building computer vision software pipelines to estimate fish weight, health, and behavior for aquaculture sustainability.
Role type
Computer Vision Engineer
Builds
Image and video inference pipelines for underwater cameras and cloud data processing
Domain
Aquaculture / Computer Vision / Machine Learning
Deliverable
production ML models
Required skills
Python, stereo vision, 3D reconstruction, stereo calibration, neural network training, deep learning, PyTorch
Preferred skills
Model inference optimization, software engineering best practices, NVIDIA Jetson deployment, 3D data processing, Docker, AWS, SQL
Technologies
PyTorch, Python, Docker, AWS, NVIDIA Jetson
Responsibilities
Develop image and video inference pipelines, estimate fish population metrics, work alongside experienced engineers
Seniority
Mid-level, hands-on IC
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