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Intern - Computer Vision / Deep Learning
2 weeks ago
As a Computer Vision and Deep Learning Intern, you will have the opportunity to work on challenging and impactful projects that contribute to the advancement of our technology. You will collaborate with our experienced team of engineers and researchers, gaining hands-on experience in the rapidly evolving fields of computer vision and deep learning.
**Responsibilities**:
- Assist in the development and implementation of computer vision algorithms and deep learning models.
- Collaborate with the team to collect, preprocess, and analyze large datasets for training and evaluation.
- Contribute to the design and optimization of deep neural networks for specific tasks.
- Work on projects related to image and video processing, object detection, segmentation, and recognition.
- Stay updated on the latest developments in computer vision and deep learning research.
**Requirements**:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- Strong programming skills in languages such as Python, C++, CuDnn,OpenCV.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries.
- Knowledge of image processing techniques and algorithms.
- Ability to work independently and collaboratively in a fast-paced startup environment.
- Excellent problem-solving and communication skills.
**Preferred Qualifications**:
- Previous experience with computer vision and deep learning projects or coursework.
- Understanding of GPU programming and parallel computing.
- Familiarity with cloud computing platforms (e.g., AWS,).
- Strong analytical and mathematical skills.
**Benefits**:
- Gain hands-on experience in cutting-edge technologies.
- Collaborate with a diverse and talented team.
- Networking opportunities within the tech industry.
- Flexible working hours.
**Job Types**: Fresher, Internship
Contract length: 6 months
**Salary**: ₹60,000.00 - ₹120,000.00 per year
**Benefits**:
- Work from home
Schedule:
- Morning shift
**Experience**:
- Computer vision: 1 year (required)
Work Location: Remote
**Speak with the employer**
+91 9999999999
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