Responsibilities

Develop and optimize computer vision applications using OpenCV and Python.

Implement real-time image and video processing algorithms.

Work with machine learning and deep learning frameworks to improve image analysis capabilities.

Integrate computer vision solutions into web and mobile applications.

Optimize performance for real-time applications, ensuring low latency and high accuracy.

Collaborate with cross-functional teams to define, design, and deploy vision-based solutions.

Debug and troubleshoot code to maintain system reliability and efficiency.

Stay updated with the latest advancements in computer vision and deep learning.

Requirements

3+ years of experience in Python development.

Strong expertise in OpenCV and image processing techniques.

Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).

Proficiency in handling and preprocessing images and videos.

Knowledge of NumPy, SciPy, and Pandas for data manipulation.

Experience with integrating computer vision models into applications (REST APIs, Flask, FastAPI, Django).

Familiarity with deep learning-based image processing techniques (CNNs, object detection, segmentation).

Strong debugging and problem-solving skills.

Experience working with Linux environments and version control (Git).

Knowledge of cloud-based AI/ML services (AWS, GCP, Azure) is a plus.

Preferred Qualifications

Experience with edge computing and deploying models on IoT devices.

Knowledge of C++ for performance optimization in OpenCV.

Hands-on experience with GPU acceleration using CUDA or OpenCL.

Familiarity with OCR technologies (Tesseract, EasyOCR).