AI Engineer (Computer Vision + Backend) for Skin Analysis Platform
Budget: $25 – $50 USD
We are building an AI-based skin analysis platform that combines image analysis with a rule-based decision engine.
The goal is to analyze facial images, extract skin attributes (such as acne, redness, oiliness), and combine them with questionnaire data to generate structured and safe recommendations.
For the MVP phase, we are open to:
- Using a pre-trained model or API for image analysis
- Or integrating an open-source model
The most important part of this project is the system logic (decision engine), not just the AI model.
We are looking for someone with experience in:
- Computer Vision (image analysis)
- Backend systems
- Model integration or deployment
- Working with APIs
- Logic-based or rule-based systems
Nice to have:
- Experience with recommendation systems
- Experience combining AI outputs with structured decision logic
Initial task:
Build a simple prototype that connects image analysis results with rule-based recommendations.
This is a long-term opportunity if the MVP phase is successful.
The goal is to analyze facial images, extract skin attributes (such as acne, redness, oiliness), and combine them with questionnaire data to generate structured and safe recommendations.
For the MVP phase, we are open to:
- Using a pre-trained model or API for image analysis
- Or integrating an open-source model
The most important part of this project is the system logic (decision engine), not just the AI model.
We are looking for someone with experience in:
- Computer Vision (image analysis)
- Backend systems
- Model integration or deployment
- Working with APIs
- Logic-based or rule-based systems
Nice to have:
- Experience with recommendation systems
- Experience combining AI outputs with structured decision logic
Initial task:
Build a simple prototype that connects image analysis results with rule-based recommendations.
This is a long-term opportunity if the MVP phase is successful.