Vision Software Engineer

Various projects that need the following experience:

1. Python Proficiency
Solid intermediate Python — structured, maintainable code, not just scripts:

• Virtual environments and pip dependency management
• numpy arrays and parsing tensor/metadata outputs
• File I/O and JSON/YAML config handling
• OpenCV knowledge


2. YOLO
Must understand the full lifecycle, not just running inference on existing models:

• Custom dataset training — preparing YOLO-format datasets, splitting train/val/test sets, tuning epochs and image size
• Training, validation, and export modes i
• Has worked with Label Studio or a comparable annotation tool (Roboflow, CVAT) to build and verify labeled datasets from scratch


3. PyTorch Fundamentals (Working Knowledge)

Model loading, forward inference, and checkpoint management
Reading and interpreting model outputs (tensors, confidence scores, bounding box formats)