Overview

We’re hiring a lead, full-stack AIML & Python Engineer to independently build and deliver a complete 3D mannequin system powered by AI and computer vision. The role involves leading the end-to-end development of an intelligent virtual fitting solution that takes user video as input, reconstructs accurate body mannequins (including full measurements and circumferences), applies designed garments, and presents them in different poses and scenes — with seamless integration into AR platforms.

Responsibilities

• Design and develop 3D models using ML-based body shape estimation.
• Implement pose estimation, texture mapping, and deformation models.
• Use ML algorithms to adjust measurements for accurate sizing and fit.
• Develop and fine-tune ML models for body shape recognition, segmentation, and fitting.
• Implement pose detection algorithms using TensorFlow, PyTorch, or OpenCV.
• Use GANs or CNNs for realistic 3D texture generation.
• Create interactive 3D rendering pipelines using Three.js, Babylon.js, or Unity.
• Optimise mesh processing, lighting, and shading for real-time rendering.
• Use GPU-accelerated techniques for rendering efficiency.
• Optimise inference pipelines for faster real-time render

Qualifications

• 3+ years in Machine Learning, Computer Vision, and 3D Graphics Development.