Intern Computer Vision Scene and Activity Understanding

CONXAI's AI platform analyzes construction data to deliver insights and automate workflows. The No-Code Agentic AI offered by CONXAI helps construction firms enhance project control and prevent knowledge loss. As a full-time intern in our team, you will be involved in addressing cutting-edge computer vision and deep learning challenges in product development. Your main responsibilities will include collaborating with the team to understand and solve computer vision/deep learning problems, developing and implementing ML solutions which involve data preprocessing, model design, and performance evaluation, integrating solutions into the codebase using strong software engineering practices, and effectively communicating results and analysis. To be successful in this role, you should be pursuing (or have completed) a PhD/Master's degree in Computer Science from the IITs or another Tier 1 university. You should have experience in training and evaluating Deep Learning models in PyTorch and specifically ViTs, a good understanding of basics in machine learning and computer vision, including representation learning. Additionally, experience in training and fine-tuning Deep Learning architectures for tasks such as Object Detection, Instance Segmentation, Image Captioning, Temporal activity detection, and Large Vision Language Models is required. Knowledge of Unsupervised Learning and Active Learning is also beneficial. Proficiency in Python and good software engineering skills are essential for this role. You should possess good communication and interpersonal skills, be able to work in a team-oriented environment, have strong problem-solving skills, and be fluent in English. This internship offers a unique opportunity to apply your academic knowledge and skills in real-world applications, collaborate with experts, and continue learning and growing in the field of computer vision and deep learning.,