I2v Systems Private Limited

About the job: We are looking to hire a Computer Vision Engineer for our Tech team where you will be responsible for development and optimization of various computer vision algorithms/pipelines for video surveillance. Key responsibilities: 1. Development of object detection, classification, tracking, and counting algorithms. 2. Porting of already existing algorithms/pipelines to GPU. 3. Optimization of already existing CPU/GPU algorithms/pipelines. Required skills: 1. Proficiency in any programming language, preferably C++ or Python. 2. Strong understanding of image processing, computer vision algorithms and machine learning. 3. High competency with image processing, computer vision and machine learning libraries such as OpenCV, Keras, OpenVino, Deepstream, Pytorch, Tensorflow. 4. Experience with rapid prototyping with e.g. Python, OpenCV. 5. Previous work in video surveillance is a big plus. 6. Should work independently as well as with team. Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 4,00,000 - 8,00,000 /year Experience: 1 year(s) Deadline: 2025-10-12 23:59:59 Other perks: Health Insurance Skills required: OpenCV, Python, Computer Vision and Deep Learning About Company: i2v Systems is a technology company in video surveillance and video analytics software. i2V stands for intelligent integrated video. i2V is a technology R&D company focusing on the design, development, and production of intelligent surveillance products. The product offerings include IP video management software, intelligent video analytics/analysis using image processing, computer vision, machine, and deep learning, automatic number plate detection system, red light violation detection system, automatic traffic counting & classification (ATCC), central monitoring system, command, and control system, smart city dashboard, PSIM (physical security information management), incident management system, cloud surveillance, and mobile surveillance.