Key Responsibilities:

• Design and develop AI/ML models for education-focused applications such as:

• Personalized learning paths

• NLP-powered content summarization and lesson generation

• Build and deploy scalable AI services and integrate with frontend/web platforms

• Collaborate with UI/UX designers, product managers, and educators to translate user needs into intelligent features

• Stay current with the latest research in GenAI, LLMs, and Agentic AI models (e.g., LangChain, OpenAI, HuggingFace, etc.)

• Optimize models for accuracy, speed, and scalability in real-world classroom settings

Required Skills:

• 5-6 years of experience in applied AI/ML engineering (GenAI, NLP, LLMs, or related)

• Strong programming skills in Python and frameworks like PyTorch, TensorFlow, or HuggingFace

• Hands-on experience with building APIs and microservices using AI models

• Experience with GenAI platforms (OpenAI, Anthropic, Gemini) and toolchains (LangChain, LlamaIndex, etc.)

• Understanding of data privacy, fairness, and ethical considerations in AI for education