We are seeking a Computer Vision Engineer to design, develop, and deploy image and video-based AI models for real-world applications.

The role focuses on building and optimizing deep learning models for visual data, including tasks such as object detection, image classification, segmentation, and video analytics.

Model Development

Develop and train computer vision models for:

Image classification

Object detection (YOLO, Faster R-CNN, SSD)

Image segmentation (U-Net, Mask R-CNN)

Work with deep learning frameworks like TensorFlow / PyTorch

Data Processing & Annotation

Work with large-scale image/video datasets

Perform:

Data preprocessing

Augmentation

Annotation handling

Model Optimization & Deployment

Optimize models for:

Performance

Accuracy

Low latency

Deploy models as:

APIs

Edge / cloud-based solutions

Pipeline Development

Build end-to-end pipelines for:

Data ingestion

Training

Evaluation

Deployment

Collaboration

Work closely with:

ML Engineers

Backend developers

Product teams

Translate use cases into scalable CV solutions

Strong Python programming

Experience with Computer Vision techniques

Hands-on with:

OpenCV

PyTorch / TensorFlow

Good understanding of:

CNNs (Convolutional Neural Networks)

Image processing concepts

Object Detection: YOLO, SSD, Faster R-CNN

Image Segmentation: U-Net, Mask R-CNN

Image Classification

Feature extraction & image transformations