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.

Role

Our client is looking for a Senior AI / ML Engineer to take ownership of improving the learning performance of AI models used for vehicle damage detection and damage size assessment. The role exists because the client’s current AI models have plateaued over the past year and they are looking for a fresh perspective to identify new approaches and drive further improvements in data, training, evaluation, and model design.

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.