Car Damage Extraction And Comparison

We are looking for an AI/Computer Vision Intern to join our team and help us enhance our AI models for damage extraction and comparison from images of cars. The intern will work closely with our data scientists and computer vision experts to develop and test new algorithms and models that can accurately detect and compare damages in car pictures, both for fraud detection and insurance claims purposes.

Responsibilities

• Collect and preprocess image datasets for damage extraction and comparison.
• Research and implement state-of-the-art computer vision techniques for image feature extraction, object detection, and similarity analysis.
• Evaluate and optimize AI models for accuracy, robustness, and scalability, using metrics such as precision, recall, F1 score, and AUC.
• Collaborate with other team members to integrate the AI models into our fraud detection platform and develop user-friendly interfaces and dashboards.
• Communicate and present research findings and results to the team and stakeholders, both in written and oral formats.
• Stay up to date with the latest research and trends in AI, computer vision, and fraud detection, and contribute to the company’s intellectual property and innovation.

Skills & Qualifications

• Currently pursuing a bachelor’s or master’s degree in computer science
• Electrical Engineering, Mathematics, or a related field.
• Strong programming skills in Python and experience with popular
• AI/ML libraries such as TensorFlow, Keras, PyTorch, and scikit-learn