 
						Computer Vision Intern: Scene and Activity Understanding
2 weeks ago
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
- 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
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