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AI-Driven Web Developer Needed to Fix AI Model Prediction Drift and UX Issues
Our AI-powered web app delivers real-time personalized content to users. Recently, we've been seeing a drop in recommendation quality — users are getting inconsistent results because the model’s predictions have subtly shifted over time, causing a mismatch between what’s expected and what’s actually shown. We’re looking for a Senior Full Stack Developer who has hands-on experience working with AI/ML models in production environments. Your main challenge will be to quickly pinpoint what’s causing this prediction drift—whether it’s outdated model versions, issues in the data pipeline, or problems with feature engineering—and implement a fix that restores the accuracy and smooth user experience. The right candidate will have strong skills in both frontend and backend integration, continuous deployment of AI models, data validation, and optimizing system performance. This is a critical, time-sensitive issue, so we need someone who can troubleshoot AI problems effectively while delivering practical full-stack solutions fast. If you know how to keep AI models reliable in a live environment and can jump in to fix this quickly, we’d love to hear from you.