New Delhi, Delhi, India
None Not disclosed
On-site
Full Time
We are seeking a talented and hands-on Software Developer with strong experience in PHP and Python, and deep knowledge of computer vision frameworks like OpenCV, YOLO, and other open-source image analysis tools. Responsibilities Build and maintain backend logic in PHP (CodeIgniter) and Python (Flask, FastAPI, etc.) Design and implement computer vision workflows using OpenCV, YOLOv8, MediaPipe, or equivalent tools Work with image/video inputs to perform real-time detection (face, objects, license plates, hazards, etc.) Integrate with third-party APIs, IoT devices, and edge-based platforms (e.g., Jetson Nano, Raspberry Pi) Optimize vision pipelines for performance, accuracy, and reliability Deploy and improve full-stack solutions Skills and Qualifications Bachelor's degree 3+ years of hands-on experience with PHP and Python Proven experience with OpenCV and YOLO (v5/v8 preferred) Strong understanding of image processing, video analytics, and real-time detection Knowledge of Linux environments, Git, and REST APIs Familiarity with edge AI, ONNX, or deploying models on Jetson/Raspberry Pi is a big plus Knowledge of object tracking and counting, pose estimation etc
delhi
INR Not disclosed
On-site
Full Time
You will be responsible for building and maintaining backend logic in PHP (CodeIgniter) and Python (Flask, FastAPI, etc.). Additionally, you will design and implement computer vision workflows using tools such as OpenCV, YOLOv8, MediaPipe, or equivalent tools. Your tasks will involve working with image/video inputs to perform real-time detection of various elements like faces, objects, license plates, hazards, etc. Furthermore, you will integrate with third-party APIs, IoT devices, and edge-based platforms such as Jetson Nano, Raspberry Pi. It will be crucial for you to optimize vision pipelines for enhanced performance, accuracy, and reliability. Your role will also include deploying and enhancing full-stack solutions. To excel in this position, you should hold a Bachelor's degree and possess a minimum of 3 years of hands-on experience with PHP and Python. Demonstrated expertise with OpenCV and YOLO (v5/v8 preferred) is essential. A strong understanding of image processing, video analytics, and real-time detection is required. Proficiency in Linux environments, Git, and REST APIs is expected. Familiarity with edge AI, ONNX, or experience in deploying models on Jetson/Raspberry Pi will be advantageous. Knowledge of object tracking, counting, pose estimation, etc., will also be beneficial for this role.,
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