Python Developer in Computer Vision

Overview

Python Developer specializing in Computer Vision

team. The ideal candidate will have a strong background in Python programming, experience with

computer vision libraries, and a passion for solving real-world visual data challenges.

Key Responsibilities

 Design, develop, and deploy computer vision solutions using Python.

 Implement and optimize algorithms for image and video analysis, object detection,

recognition, and tracking.

 Integrate machine learning and deep learning models for computer vision tasks.

 Maintain and improve existing codebases, ensuring scalability and performance.

 Conduct experiments, analyze results, and iterate on solutions based on feedback and

evaluation metrics.

 Document processes, code, and research findings clearly and comprehensively.

Required Skills & Qualifications

 Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related

field.

 Strong proficiency in Python programming.

 Hands-on experience with computer vision libraries such as OpenCV, scikit-image, or PIL.

 Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) for vision tasks.

 Solid understanding of image processing techniques, feature extraction, and data

augmentation.

 Ability to write clean, efficient, and well-documented code.

 Strong analytical and problem-solving skills.

 Profiecient in Linux like ubuntu

Preferred Qualifications

 Experience with Docker for deploying computer vision applications.

 Knowledge of C++ or other languages for performance-critical components.

Benefits

 Competitive salary and performance bonuses.

 Health insurance.

 Flexible working hours and remote work options.

 Opportunities for professional growth and training.

 Collaborative and innovative work environment.

Application Process

Interested candidates should submit their resume, a cover letter detailing relevant experience, and

links to any relevant projects or portfolios.