Job Description

- Design, train, optimize, and deploy deep learning models for object detection, segmentation, and facial/image recognition.
- Build high-throughput real-time video analytics pipelines processing live RTSP and camera streams.
- Optimize computer vision inference speeds using TensorRT, ONNX Runtime, and OpenVINO for cloud and edge hardware.
- Develop synthetic data generation, automated annotation pipelines, and rigorous benchmarking protocols.
- Collaborate with backend and mobile engineers to package vision solutions into scalable client products.

Skills & Experience

- 2+ years of qualified experience in Computer Vision, Image Processing, and Deep Learning.
- Strong proficiency in Python, OpenCV, and deep learning frameworks (PyTorch or TensorFlow).
- Experience working with vision architectures: YOLO (v8/v9/v10),



Faster R-CNN, Detectron2, and Vision Transformers.
- Hands-on experience optimizing models for deployment (ONNX, TensorRT, FP16/INT8 quantization).
- Experience with Linux, Docker, and GPU cluster environments (CUDA / cuDNN).

Qualifications

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Robotics, Electronics, or related discipline.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Computer Vision Engineer (Sahibzada Ajit Singh Nagar)
🏢 Trigvent Solutions
📍 Sahibzada Ajit Singh Nagar