AI for Educational Adaptive Learning System
Budget: ₹37,500 – ₹75,000 INR
Job Title:
AI/ML Engineer for Personalized Learning Platform
Job Description:
We're developing an AI-powered educational platform that provides personalized learning experiencesWe need an experienced AI/ML Engineer who can design and implement core AI features for the prototype phase of AI based ed tech.
Responsibilities:
Build personalization algorithms to recommend lessons and adjust difficulty based on user performance.
Develop an AI-driven adaptive learning system (progress tracking + predictive insights).
Integrate NLP-based features such as:
Speech recognition for language learning
Basic conversational AI for interactive engagement
Work on data pipeline for collecting and analyzing user performance data.
Deploy models into a mobile-friendly environment (via APIs or edge AI).
Requirements:
Strong experience in Machine Learning & Deep Learning.
Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn.
Familiarity with NLP frameworks (HuggingFace, spaCy, OpenAI API, or similar).
Knowledge of API development & integration for AI models.
Ability to work on prototypes with limited datasets and optimize models for performance.
Scope of Work:
Initial phase: Develop personalized learning engine + NLP chatbot + basic analytics.
Possible long-term collaboration for advanced AI features.
Budget & Timeline:
Project-based or hourly (please share your proposal).
Timeline for initial prototype: flexible
How to Apply:
Share examples of AI/ML projects you’ve worked on.
Mention the tools & frameworks you use.
Provide your estimated cost and timeline for building the core features.
AI/ML Engineer for Personalized Learning Platform
Job Description:
We're developing an AI-powered educational platform that provides personalized learning experiencesWe need an experienced AI/ML Engineer who can design and implement core AI features for the prototype phase of AI based ed tech.
Responsibilities:
Build personalization algorithms to recommend lessons and adjust difficulty based on user performance.
Develop an AI-driven adaptive learning system (progress tracking + predictive insights).
Integrate NLP-based features such as:
Speech recognition for language learning
Basic conversational AI for interactive engagement
Work on data pipeline for collecting and analyzing user performance data.
Deploy models into a mobile-friendly environment (via APIs or edge AI).
Requirements:
Strong experience in Machine Learning & Deep Learning.
Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn.
Familiarity with NLP frameworks (HuggingFace, spaCy, OpenAI API, or similar).
Knowledge of API development & integration for AI models.
Ability to work on prototypes with limited datasets and optimize models for performance.
Scope of Work:
Initial phase: Develop personalized learning engine + NLP chatbot + basic analytics.
Possible long-term collaboration for advanced AI features.
Budget & Timeline:
Project-based or hourly (please share your proposal).
Timeline for initial prototype: flexible
How to Apply:
Share examples of AI/ML projects you’ve worked on.
Mention the tools & frameworks you use.
Provide your estimated cost and timeline for building the core features.