/Intern: Computer Vision Scene and Activity Understanding

Intern: Computer Vision Scene and Activity Understanding

Germanydevia direct
// Job Type
Full Time
// Salary
Not disclosed
// Posted
2 months ago
// Seniority
intern

About the Role

CONXAI's AI platform analyzes construction data to deliver insights and automate workflows. Our No-Code Agentic AI helps construction firms improve project control and prevent knowledge loss. TASK We're seeking full-time interns to tackle cutting-edge computer vision and deep learning challenges in product development. Collaborate with the team to understand and solve computer vision/deep learning problems Develop and implement ML solutions, including data preprocessing, model design, and performance evaluation Integrate solutions into the codebase using strong software engineering practices Communicate results and analysis effectively YOUR PROFILE Pursuing (or completed) a PhD / Master's degree in Computer Science at the IITs or another Tier 1 university  Experience with training, and evaluating Deep Learning models in PyTorch and specifically ViTs Good understanding of basics in machine learning and computer vision, specifically representation learning Experience training and fine-tuning a Deep Learning architecture for: Object Detection Instance Segmentation Image Captioning  Temporal activity detection Large Vision Language Models  Knowledge of Unsupervised Learning and Active Learning Proficient in Python and good software engineering skills Good communication and interpersonal skills Ability to work in a team-oriented environment Strong problem-solving skills Fluent in English This is a unique opportunity to apply your academic knowledge & skills in real world applications and learn from experts.

Tech Stack

Computer VisionDeep LearningPyTorchViTsObject DetectionInstance SegmentationImage CaptioningTemporal activity detectionLarge Vision Language ModelsPythonSoftware Engineering

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