Job Description

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