knowledai
https://knowled.aiAbout
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Jobs at knowledai
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AngularJS (1.x)
Python
Data AnalyticsKey Responsibilities
🖥️ Frontend (Angular)
- Develop responsive, accessible web UI for assessment tools, educator dashboards, and parent reports.
- Implement dynamic form builders and scoring interfaces for multiple domains (reading, writing, math).
- Build PDF report previews, filtering tools, and real-time updates.
🔙 Backend (Python/FastAPI)
- Design and implement APIs for user management, assessments, intervention logs, and reports.
- Integrate scoring logic and data aggregation for AI insights.
- Implement secure role-based access (admin, educator, parent).
🛠️ DevOps / Systems
- Maintain scalable architecture with PostgreSQL / MongoDB, Docker, and deployment pipelines.
- Work with AI engineer to connect ML models to backend for prediction and recommendation layers.
- Optimize performance and ensure data security (GDPR-aligned).
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Key Responsibilities
🧪 AI/ML Research & Development
- Develop AI models to identify learning difficulty patterns based on multi-domain assessments.
- Train models to classify LD categories (e.g., dyslexia, dysgraphia) from scoring + qualitative inputs.
- Build recommendation logic for intervention strategies based on child profiles and educator feedback.
📊 Data Processing & Pipeline
- Design data pipelines to preprocess structured and semi-structured data (scores, observations, logs).
- Work with educator-generated reports and build logic to convert qualitative insights into ML-readable formats.
🔎 Model Evaluation & Iteration
- Perform evaluation using accuracy, recall, precision; but also focus on interpretability and ethical AI.
- Use techniques like SHAP, attention weights, or decision trees for explainability in recommendations.
🤝 Collaboration & Integration
- Work closely with frontend/backend teams to integrate AI insights into the assessment tool UI.
- Sync with special educators to validate model predictions and continuously improve the output quality.
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