Senior Computer Vision Engineer

Key Responsibilities

• Design and implement end-to-end computer vision pipelines.
• Develop rapid POCs for object detection, tracking, segmentation, or OCR.
• Build real-time video processing systems.
• Optimize models for edge/embedded deployment (CPU/GPU/NPU).
• Convert and deploy models using ONNX, TensorRT, TFLite, or similar frameworks.
• Benchmark and improve performance metrics, including latency, FPS, and memory usage.
• Work with limited or synthetic datasets during early prototyping.

Required Skills

• Strong expertise in Python (must-have).
• Solid experience with C++ for performance optimization.
• Hands-on experience with PyTorch or TensorFlow.
• Strong knowledge of OpenCV.
• Experience with object detection frameworks (e.g., YOLO, SSD, Faster R-CNN).
• Experience building real-time inference pipelines.
• Knowledge of model optimization techniques such as quantization, pruning, and profiling.