Yo Learn.ai an AI-powered education platform transforming learning for students and teachers through multimodal AI agents, adaptive assessments, and automation. We focus on large-scale AI-driven solutions deployed on Google Cloud Platform (GCP) to support millions of users daily.

What you'll do

As an AI Engineer Intern, you will:

✅ Integrate AI models (LLMs, transformers, multimodal AI) into YoLearn.ai's learning and teaching agents.

✅ Fine-tune, optimize & deploy pre-trained models for real-world applications.

✅ Work with multimodal AI (text, voice, video, avatars) to create engaging learning experiences.

✅ Collaborate with backend engineers & UI/UX teams to integrate AI functionalities into web and mobile apps.

✅ Develop & test retrieval-augmented generation (RAG) and memory-based AI architectures to improve contextual AI responses.

✅ Use Google Cloud AI services (Vertex AI, AutoML, etc.) to optimize model deployment.

✅ Work on real-time inference, model compression, and latency reduction for production-scale AI applications.

Must have skills-

🎯 Python (FastAPI, Flask, LangChain, PyTorch, TensorFlow)

🎯 LLMs & Transformers (Hugging Face, OpenAI, Mistral, Gemma, Llama, Claude, Deepseek)

🎯 Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB)

🎯 RAG Systems & AI Memory (LangChain, LlamaIndex)

🎯 ML Pipelines & Model Deployment (Docker, Kubernetes, Vertex AI, TensorRT)

🎯 GCP Services (BigQuery, Cloud Functions, AI Platform, Firebase)

🎯 MLOps & Optimization (model fine-tuning, quantization, pruning, ONNX, Triton)

Good to have skills-

🔹 Speech & Audio Processing (Whisper, Vosk, Speech-to-Text APIs)

🔹 Video Generation & Avatars (DeepBrain AI, HeyGen, Nvidia AI)

🔹 Prompt Engineering & Fine-tuning (LoRA, PEFT, RLHF)

🔹 Knowledge Graphs & Semantic Search

🔹 Frontend AI Integration (React.js, Next.js, TypeScript)

Who should apply?

🔹 AI/ML Enthusiasts passionate about LLMs, NLP, multimodal AI & generative AI.

🔹 Final-year students or fresh graduates in CS, AI, Data Science, or related fields.

🔹 Those with projects, Kaggle experience, or open-source contributions in AI.

🔹 Candidates who love experimenting with AI APIs & open-source models.

What you'll gain?

🚀 Hands-on experience with real-world AI deployment at scale.

📌 Exposure to cutting-edge LLM, RAG, & AI automation frameworks.

💡 Direct mentorship from industry experts in AI & cloud computing.

💼 Potential for Pre-Placement Offer (PPO) based on performance.