Python Developer
2 weeks ago
About Neodocs
Join the revolution in instant smartphone diagnostics
We're a fast-growing Y Combinator-backed (S21) healthtech startup that has conducted 250,000+ tests and is scaling to 100 million tests over the next 3 years.
Our Mission: "Build a personal lab for everyone" - enabling instant, accurate diagnostics
Role Summary
Join our core engineering team to maintain and enhance the computer vision algorithms that power our revolutionary smartphone-based diagnostic platform. You'll work on colorimetric and lateral flow assay processing that enables lab-quality results in just 30 seconds for conditions like UTIs, kidney disease, diabetes, and anemia.
Key ResponsibilitiesCode Maintenance & Development
- Maintain and optimize existing Python codebase for colorimetric test analysis (kidney function, UTI etc)
- Maintain and enhance test processing algorithms for other rapid diagnostics
- Implement improvements to computer vision models to ensure accuracy across different smartphones and lighting conditions
- Develop and deploy ML models for image analysis, color detection, and pattern recognition in diagnostic strips
System Monitoring & Quality Assurance
- Monitor system error codes and identify edge cases in diagnostic processing across diverse user environments
- Implement robust error handling and logging mechanisms to ensure 99.9% reliability for critical health diagnostics
- Analyze system performance metrics and optimize processing pipelines for sub-30-second results
- Troubleshoot and resolve technical issues in production environments serving 100,000+ active users
- Ensure clinical-grade accuracy through continuous validation and testing protocols
Cloud Infrastructure Management
- Deploy and manage applications across AWS, Google Cloud, and Azure
- Maintain Firebase integrations for real-time data processing and instant result delivery
- Optimize cloud resource usage and costs as we scale to 100M annual tests
Required Technical SkillsProgramming & ML
- Python: proficiency with libraries such as OpenCV, scikit-learn, TensorFlow/PyTorch
- Computer Vision: Experience with image processing, feature extraction, and object detection
- Machine Learning: Experience with supervised/unsupervised learning, model training and deployment
Core Competencies
- Strong problem-solving skills with experience debugging complex computer vision issues
- Production ML systems experience - you've deployed models
- Experience with large-scale image datasets and handling diverse image conditions
- Statistical analysis and data validation expertise for ensuring diagnostic accuracy
- Startup culture - comfortable with fast-paced environment and wearing multiple hats
Location: Mumbai
Experience: 0-1 year
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