Selected intern's day-to-day responsibilities include:

1. Participate in the development and optimization of algorithms for structure from motion, vision language models, and zero-shot detection
2. Collaborate with the team to integrate advanced computer vision techniques into our projects
3. Conduct research to stay ahead of the curve in computer vision technologies and methodologies
4. Work on real-world datasets to train, validate, and test computer vision models
5. Document and present research findings and developments within the team

Qualifications:

1. Currently in Final year or recently graduated from a Master's or PhD program in Computer Science, Electrical Engineering, or a related field with a focus on computer vision, machine learning, or AI
2. Strong foundation in computer vision principles and hands-on experience with structure from motion, vision language models, and zero-shot detection models
3. Proficient in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, and OpenCV
4. Demonstrated ability to work with large datasets and deep learning models
5. Creative problem-solving skills and a passion for innovation in AI
6. Excellent communication and teamwork skills

Skill(s) required

Computer Vision

Deep Learning

Image Processing

Machine Learning

Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. have relevant skills and interests

Perks

Certificate

Informal dress code