
Data Science
2 weeks ago
AI/ML Engineer Role Overview
This is an exciting opportunity to join our core AI team in building the engine that powers intelligent agents for students.
You will play a key role in developing and optimizing the recommendation system, learning analytics, and natural language capabilities of our agentic AI tutors and placement mentors.
The ideal candidate will have experience with AI/ML engineering, solid Python skills, and knowledge of ML pipelines.
Additional requirements include experience with transformer models, LangChain, RAG, and prompt engineering, as well as familiarity with open-source LLMs and fine-tuning frameworks.
Key Responsibilities:
- Design and train ML models for personalized learning paths and placement prep
- Implement recommendation engines, knowledge graphs, and learning analytics
- Fine-tune LLMs (e.g., LLaMA, Mistral, Gemini, GPT) for educational purposes
- Integrate Whisper/Coqui/STT models for real-time speech interaction
- Optimize performance for sub-5s response time across 100,000+ users
Requirements and Qualifications:
- 3+ years of experience in AI/ML engineering, with solid Python and ML pipeline experience
- Experience with transformer models, LangChain, RAG, and prompt engineering
- Familiarity with open-source LLMs and fine-tuning frameworks
- Exposure to ROS, edge inference (Jetson/RPi) is a bonus
- Bachelors/Masters degree in AI, CS, or equivalent fields
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