عن الوظيفة
MentoraJo is an educational platform that connects mentors and students through courses and video lessons. We're looking for an AI Engineer Intern to help build AI-powered features that improve the learning experience for real students and mentors. You'll work on machine learning models, AI applications, and intelligent chatbots while learning from experienced engineers. What you'll learn - Building real AI applications and machine learning pipelines. - Working with LLMs, RAG systems, embeddings, and vector databases. - Industry development practices and teamwork. - How AI solutions are deployed in production products. Perks - Mentorship from experienced engineers. - Flexible hours and remote-first work. - Real projects with real impact. - Certificate and recommendation letter upon completion. - Opportunity for a full-time role after the internship. How to apply Send your CV along with any projects, GitHub repositories, Kaggle profiles, or portfolio links. We'd love to see what you've built.
المسؤوليات
- Help build AI-powered features and tools.
- Train and evaluate machine learning models.
- Work with LLMs and RAG systems to build chatbots and AI assistants.
- Clean and prepare data for training and testing.
- Experiment with prompts, embeddings, and vector databases.
- Collaborate with software engineers to integrate AI solutions into our platform.
- Research and test new AI technologies.
المتطلبات
- Studying or recently graduated in AI, Data Science, Computer Science, Software Engineering, or a related field.
- Good knowledge of Python.
- Basic understanding of Machine Learning concepts.
- Familiarity with Pandas, NumPy, and Scikit-learn.
- Basic knowledge of NLP, LLMs, or Generative AI.
- Familiarity with Git.
- Comfortable using AI tools such as ChatGPT, GitHub Copilot, Claude, Gemini, or Cursor.
- Strong problem-solving skills and willingness to learn.
ميزة إضافية
- Personal, university, or competition projects in AI or Data Science.
- Experience with PyTorch or TensorFlow.
- Familiarity with LangChain, vector databases, or RAG systems.
- Knowledge of SQL and APIs.
- GitHub, Kaggle, or portfolio projects.