Summary

We are looking for a Systems-First Computer Vision Engineer who specializes in the "Last Mile" of AI: taking a model and making it run continuously, reliably, and instantly on live video feeds. This role is not about training models in a notebook; it is about building the high-performance highways (Pipelines) that allow Vision AI to run in the real world. You will architect robust streaming architectures using GStreamer/RTSP and optimize inference for ultra-low latency on Edge and Cloud environments.

Key Responsibilities
Architect Streaming Pipelines: Design and implement robust, real-time video ingestion pipelines handling multiple RTSP streams using tools like GStreamer, FFmpeg, and WebRTC.
Inference Integration: Take trained models from the ML team and integrate them into production pipelines. Your goal is to ensure the model runs stable, rapid, and without memory leaks.
Latency Optimization: Obsess over milliseconds. Optimize data processing pipelines to ensure low-latency inference on both Edge devices (NVIDIA Jetson) and Cloud servers.
Fault Tolerance:



Build "Crash-Proof" systems. Ensure that if a camera goes offline or a frame is dropped, the system recovers gracefully without manual intervention.
Framework Evolution: Maintain and evolve our proprietary vision framework by writing modular, reusable, and efficient Python code/libraries.
Performance Engineering: Diagnose bottlenecks in the system—whether it's CPU, GPU, or Network—and implement architectural fixes.

Skills & Requirements
Video Engineering Mastery: Deep expertise in video streaming protocols (RTSP, WebRTC, FastRTC) and processing tools (FFmpeg, GStreamer). You know how to handle frame buffers, decoding, and encoding efficiently.
Core Vision Stack: extensive experience with OpenCV and Image Processing fundamentals. You understand geometry, color spaces, and pixel-level manipulation.
Production Python: Strong experience writing fault-tolerant, multi-threaded/async code. You understand how

📌 Computer Vision Engineer (India)
🏢 KoiReader Technologies
📍 India