Computer Vision & Generative AI Engineer – Saree Virtual Try-On (VTON)

Role: AI Engineer/AI Developer (Computer Vision & Generative AI Engineer Saree

Virtual Try-On (VTON))

Experience: 2-3 Years

Location: Hyderabad, Telangana, India

Job Type: Onsite, Full-time, Permanent

Job Summary:

We are seeking a highly skilled Computer Vision & Generative AI Engineer to develop an advanced

Saree Virtual Try-On (VTON) system. The ideal candidate will have strong expertise in deep

learning, image processing, pose estimation, segmentation, and generative models to create

realistic saree draping and texture rendering solutions. You will work on building production-ready AI systems capable of realistic saree fitting, texture transfer, body alignment, and high-resolution

output generation.

Key Responsibilities:

• Design and implement Virtual Try-On (VTON) pipelines for saree draping and fitting.
• Develop models for human pose estimation, human parsing (semantic segmentation), cloth
• warping and alignment, and texture preservation and enhancement.
• Implement generative models (GANs / Diffusion models) for realistic cloth rendering.
• Improve saree texture quality using super-resolution and upscaling techniques.
• Handle complex draping logic specific to Indian saree styles.
• Optimize inference performance for real-time or near real-time deployment.
• Build scalable APIs for VTON integration with e-commerce platforms.
• Deploy models using Docker and Kubernetes.
• Conduct research and experiment with state-of-the-art architectures for fashion AI.

Required Technical Skills:

• Strong proficiency in Python.
• Deep expertise in Computer Vision, Image Processing, Deep Learning, and Neural Networks
• (CNNs, Transformers).
• Hands-on experience with PyTorch and TensorFlow (optional but preferred).
• Experience with pose estimation models (OpenPose, HRNet), human segmentation/parsing models, image warping & geometric transformations.
• Experience with GANs / Diffusion models and attention-based architectures

.