Description
We are seeking a Video Analytics Engineer with 3-5 years of hands-on experience to build, improve, and optimize computer vision and video processing solutions that convert raw video streams into actionable intelligence. This role is ideal for an engineer who is robust in implementation and deployment, while also being curious about model behavior, failure analysis, and practical experimentation to improve accuracy in real-world scenarios.

You will work at the intersection of deep learning, real-time video processing, and scalable backend systems, contributing to use cases across security, retail, traffic, and industrial environments. You will partner with senior engineers and research-oriented team members to adapt existing approaches, evaluate results, and help move promising ideas into reliable production systems.

Your role will also include overseeing,



supervising and reviewing tasks performed by team members to ensure effective execution of work; managing end‑to‑end processes and projects for both internal and external clients with responsibility for timely and accurate delivery; issuing clear instructions and directions to team members on tasks to be performed; and mentoring and guiding junior colleagues to support their skill development, professional growth, and overall success

Responsibilities
- Design and develop end-to-end video analytics pipelines covering ingestion, decoding, preprocessing, inference, and post-processing.
- Build, fine-tune, test, and deploy computer vision models for object detection, tracking, classification, action recognition, and anomaly detection.
- Analyze model outputs, identify common failure cases, and support experiments to improve robustness under occlusion, crowd density, lighting variation, and camera diversity.
- Optimize inference performance on edge and cloud GPUs using TensorRT, ONNX Runtime, OpenVINO, or similar runtimes.
- Implement real-time video processing using GStreamer, FFmpeg, or DeepStream, with

📌 Software Engr II (Pune)
🏢 Honeywell
📍 Pune