AI / Computer Vision Engineer

Project

A platform reshaping the vehicle inspection market, allowing companies to run guided, computer vision–based inspections on any smartphone in just a few minutes, with AI assessing damage and estimating repair costs.

Qualifications

• 5+ years of experience in Computer Vision.
• Strong understanding of Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Convolutional Recurrent Neural Networks (RCNN).
• Experience working with large datasets.
• Strong programming skills in Python, TensorFlow, and PyTorch.
• Strong AWS experience (deployment, optimization).
• Usage of open-source CNN models such as Yolo.
• Bachelor’s degree in Computer Science or a related field.

Responsibilities

• Design, develop, and implement deep learning models using CNN, RNN, and RCNN for various applications.
• Work with large data sets to preprocess, clean, and prepare data for model training.
• Create datasets for training and testing.
• Train machine learning models and validate their accuracy, and deploy validated models into production.
• Optimize models for performance and accuracy, and fine-tune hyperparameters to achieve optimal results.
• Stay up to date with the latest developments in deep learning techniques and technology.
• Provide technical guidance and support to other team members.