Key Responsibilities
- Assist in developing and fine-tuning computer vision models using Python and deep learning frameworks.
- Work on object detection, pose estimation, and image segmentation using tools like YOLO, U-Net, and MediaPipe.
- Explore CNNs, GCNs, and similar architectures for visual data understanding.
- Apply preprocessing techniques using OpenCV and image augmentation pipelines.
- Help integrate vision models with APIs or front-end applications.
- Perform model evaluation, testing, and optimization for performance and accuracy.
- Document the development process and contribute to knowledge sharing.
Requirements
- Strong programming skills in Python
- Sound understanding of Convolutional Neural Networks (CNNs) and basic deep learning concepts
- Experience or academic exposure to at least 1–2 models like YOLO, U-Net, GCN, or ResNet
- Familiarity with MediaPipe, OpenCV, and image/video processing workflows
- Experience with TensorFlow or PyTorch
- Understanding of NumPy, pandas, matplotlib for data handling & visualization
- Good debugging and problem-solving skills
- Ability to work independently and collaborate with the team
Job Types: Full-time, Permanent, Fresher, Internship
Contract length: 6 months
Pay: Up to ₹8,000.00 per month
Benefits:
- Paid sick time
- Paid time off
Work Location: In person
Expected Start Date: 28/07/2025
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