Computer Vision Engineer

Curate, label, and manage large datasets for computer vision tasks.

Build, fine-tune, and deploy CNN/Transformer models (YOLO, SAM, RT-DETR) for object detection, tracking, and segmentation.

Optimize models for production on GPU servers and edge devices using ONNX/TensorRT.

Integrate models with backend/frontend via REST/gRPC APIs.

Conduct performance evaluation, A/B testing, and latency optimization (<100 ms, mAP >0.85).

Mentor junior engineers and ensure best practices in data and model engineering.