Insoftex LLC is seeking a skilled AI Engineer to build an MVP of a facial skin diagnostics solution for a US-based startup client. The system will analyze photos of facial skin and provide users with personalized skin health insights and product recommendations.
What You’ll Do:
- Design and implement a computer vision pipeline for facial skin image analysis
- Fine-tune pre-trained models (EfficientNet, ViT, ResNet or similar) for skin condition classification
- Build and expose a clean REST API for mobile/web frontend integration
- Work with the team to define ML architecture and recommend approaches based on available data
- Collaborate in discovery phase — requirements may evolve as client aligns on scope
Requirements:
Must-Have
- 3+ years of experience in Computer Vision / Deep Learning
- Strong hands-on experience with PyTorch or TensorFlow
- Proven track record with transfer learning and fine-tuning pre-trained models
- Experience building image classification or segmentation models end-to-end
- Python proficiency — FastAPI or Flask for API layer
- Portfolio or GitHub with relevant Computer Vision projects
Soft Skills
- Comfortable working with ambiguous requirements in early-stage MVP environments
- Strong written English communication — async-friendly collaboration
- Able to explain technical decisions to non-technical stakeholders
Nice-to-Have:
- Experience with dermatology, medical imaging, or beauty tech datasets
- Familiarity with AWS SageMaker, GCP Vertex AI, or similar ML platforms
- Knowledge of on-device inference — TensorFlow Lite, Core ML
- Understanding of data privacy requirements for sensitive imagery (HIPAA awareness)
- Familiarity with FDA SaMD or FTC guidelines for AI health/beauty applications
Client and Domain:
- Client: a US-based startup
- Country: USA
- Domain: AI beauty / skincare tech
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