Hlavní informace

AI Expert

Pozice: Nezadáno

Začátek: 1. 1. 2025

Konec: Nezadáno

Město: Praha, Česká republika

Způsob spolupráce: Dlouhodobá spolupráce

Hodinová sazba: Nezadáno

Poslední aktualizace: 21. 11. 2024

Popis úkolů a požadavky

Revolutionizing AI Expert Matchmaking 


 Welcome to AI Mentor Hub! We're building the future of AI expert matchmaking and verification. This document provides a comprehensive overview of our project, mission, and technical approach. 


Our Mission 


 To revolutionize how companies and individuals access AI expertise by creating an intelligent, AI-powered platform that ensures quality, speed, and reliability in expert matchmaking. 


What We're Building 


Core Platform Components 


  1. AI Matching Engine
    • Deep learning-based matching algorithm
    • Multi-parameter analysis (50+ factors)
    • Real-time optimization
    • Continuous learning system
  2. Expert Verification System
    • ML-based expertise validation
    • Automated portfolio analysis
    • Reference verification
    • Fraud detection
  3. Marketplace Platform
    • Real-time matching interface
    • Secure communication system
    • Project management tools
    • Payment processing

Technical Stack

Backend
 
  • Python (FastAPI/Django)
  • PostgreSQL
  • Redis
  • AWS/GCP Cloud Infrastructure

AI/ML
 
  • PyTorch/TensorFlow
  • NLP libraries (spaCy, Transformers)
  • SageMaker/Vertex AI
  • Custom ML models

Frontend
 
  • React.js
  • TypeScript
  • Material UI/Tailwind
  • Real-time features (WebSocket)

As a team member at AI Mentor Hub, you'll be: 


  1. Working on cutting-edge AI technology
  2. Solving real industry problems
  3. Building scalable solutions
  4. Contributing to AI ecosystem growth

Development Principles
 
  1. Quality First
    • Clean, maintainable code
    • Comprehensive testing
    • Regular code reviews
    • Documentation
  2. Agile Development
    • 2-week sprints
    • Daily standups
    • Regular retros
    • Continuous integration
  3. Innovation Focus
    • Research-driven approach
    • Experimentation encouraged
    • Knowledge sharing
    • Continuous learning

Kategorie

Python PyTorch SageMaker Redis