Machine Learning Engineer
Core
Build visual intelligence for a robotic harvesting system using computer vision and machine learning to enable object detection, classification, tracking, and segmentation.
Role type
Computer Vision & Machine Learning Engineer
Builds
Robotic harvesting system visual intelligence
Domain
Agriculture / Robotics / Computer Vision
Deliverable
production ML models
Required skills
Python, OpenCV, TensorFlow, PyTorch, Keras, CNN architectures (FCN, R-CNN, Fast R-CNN, YOLO), hyperparameter tuning, data augmentation, data wrangling, model optimization, model deployment, Dockerization, AWS
Preferred skills
Qt, Desktop application development, Satellite image processing, GIS (GDAL, Qgis, ArcGIS)
Responsibilities
Build deep learning models for object detection on large-scale images; Design and implement real-time algorithms for object detection, classification, tracking, and segmentation; Coordinate with software and hardware teams to execute commercial engineering solutions; Automate workflow processes between data delivery systems.
Seniority
Mid-level (1-3+ years experience)
