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Computer Vision ML Engineer

4 weeks ago

Mumbai, India NeoDocs (YC S21) Full time

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 Responsibilities
Code 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 Skills
Programming & 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