Lead AIML Engineer– 3D Mannequin & Virtual Fitting Room

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.

You will lead 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.

Role: AI-Machine Learning Engineer (3D Graphics Specialist)

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

We are seeking a highly skilled and innovative Machine Learning Engineer with 3D Graphics expertise. In this role, you will be responsible for developing and optimising 3D models using machine learning algorithms, computer vision techniques, and 3D rendering tools. You will collaborate with backend developers, data scientists, and UI/UX designers to create realistic, scalable, and interactive 3D visualisation modules that enhance the user experience.

Key Responsibilities:

3D Model Development:

- 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.

Machine Learning & Computer Vision:

- 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.

3D Graphics & Visualization:

- 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.

Model Optimization & Performance:

- Optimise inference pipelines for faster real-time rendering.
- Implement multi-threading and parallel processing for high performance.
- Utilise cloud infrastructure (AWS/GCP) for distributed model training and inference.

Collaboration & Documentation:

- Collaborate with UI/UX designers for seamless integration of 3D models into the web and mobile apps.
- Maintain detailed documentation for model architecture,



training processes, and rendering techniques.

Key Skills & Qualifications:

Technical Skills:

- Proficiency in Django, Python, TensorFlow, PyTorch, and OpenCV.
- Strong expertise in 3D rendering frameworks: Three.js, Babylon.js, or Unity.
- Experience with 3D model formats (GLTF, OBJ, FBX).
- Familiarity with Mesh Recovery, PyMAF, and SMPL models.

ML & Data Skills:

- Hands-on experience with GANs, CNNs, and RNNs for texture and pattern generation.
- Experience with 3D pose estimation and body measurement algorithms.

Cloud & Infrastructure:

- Experience with AWS (SageMaker, Lambda) or GCP (Vertex AI, Cloud Run).
- Knowledge of Docker and Kubernetes for model deployment.

Graphics & Visualisation:

- Knowledge of 3D rendering engines with shader programming.
- Experience in optimisation techniques for rendering large 3D models.

Soft Skills:

- Strong problem-solving skills and attention to detail.
- Excellent collaboration and communication skills.

We would love to hear from you at [email protected]

Location: Visakhapatnam (Work from Office)

Experience: 4–6+ Years

Role Type: Full-time / Contract-to-Hire

About the Role:

We are looking for a hands-on GenAI Developer to build and scale our AI-powered recommendation engine and next-generation domain-specific LLM systems.

This role involves working on cutting-edge technologies including LLMs, RAG pipelines, AI agents, and multilingual voice-enabled AI avatars, contributing directly to core product innovation.

Key Responsibilities:

- Design and develop AI-powered recommendation systems
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines
- Integrate leading LLMs (OpenAI, Claude, Gemini, etc.)
- Develop and scale AI agents and intelligent APIs
- Enhance AI performance, reduce hallucinations, and improve accuracy
- Work on voice-enabled AI avatars with multilingual capabilities
- Build scalable backend systems using FastAPI and Python




- Deploy and manage AI systems on cloud platforms (AWS Bedrock, etc.)

Required Skills:

- Solid proficiency in Python & FastAPI
- Experience with LLMs, RAG, and AI frameworks
- Hands-on with OpenAI, Claude, Gemini, AWS Bedrock, Hugging Face
- Knowledge of LangChain, LangGraph, LlamaIndex
- Experience with vector databases (pgvector), PostgreSQL
- Understanding of recommendation systems & AI agents
- Experience in Docker, API development, and scalable systems
- Familiarity with speech-to-text, text-to-speech, and multilingual AI
- Ability to manage hallucination control and model optimization

What we are looking for:

- Strong coding skills with ability to build production-ready AI modules
- Experience in testing, debugging, and deploying AI systems
- Passion for building real-world AI products at scale

Interested candidates can share their

- GitHub profile
- AI project portfolio / demos
- Relevant work in LLMs, RAG, recommendation systems, AI agents, or voice AI

to [email protected] Apply or reach out to explore this opportunity!

Job Post: AIML Engineer - 3D AI / XR / Virtual Fitting Room Developer

This is a hands-on coding role. We need a developer who can actually build 3D mannequin, virtual fitting room, cloth draping, avatar animation, cloth movement, and AR preview modules.

Required skills: Pymesh, ML, Three.js, Babylon.js, WebGL, WebXR, React.js / Next.js, GLB/glTF, Blender, Unity/Unreal, Python, OpenCV, MediaPipe, cloth simulation, avatar animation, and virtual try-on experience.

Primary: Python, Trimesh, Open3D, Blender Python
Preferred: PyMesh / PyMeshLab
Avatar model: SMPL / SMPL-X or equivalent
Front-end rendering: Three.js / Babylon.js
Asset format: GLB / glTF / FBX / USDZ
Cloth simulation: Blender / Unity Cloth / Unreal Chaos Cloth / NVIDIA PhysX / custom physics
Computer vision: OpenCV, MediaPipe, PyTorch / TensorFlow

The candidate should be able to create automated working avatars, write production-ready code, integrate APIs, and deliver deployable modules.

Experience: 4–6+ years
Location: Visakhapatnam
Role Type: Full-time / Contract-to-hire

Interested candidates can share GitHub, demo links, portfolio, and relevant virtual try-on / 3D avatar work.

Work Location: In person

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