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Job details:
Results-driven AI/ML and Generative AI Tutor with 2 years expertise in building and teaching real-world AI systems. specialize in helping students, developers, and professionals transition into AI by focusing on practical implementation, project-based learning, and production-ready skills.
With hands-on experience in LLMs, RAG pipelines, AI agents, and MLOps, train learners to not just understand AI but to build, deploy, and scale intelligent systems.
Core Expertise
AI / Machine Learning
• Supervised & Unsupervised Learning
• Feature Engineering & Model Optimization
• Time Series Forecasting
• Model Evaluation & Tuning
Deep Learning
• ANN, CNN, RNN, LSTM
• Transfer Learning
• TensorFlow & PyTorch
Generative AI
• Large Language Models (LLMs)
• Prompt Engineering (Advanced Techniques)
• Retrieval-Augmented Generation (RAG)
• AI Agents & Autonomous Workflows
• Fine-tuning & Embeddings
• Vector Databases (FAISS, Pinecone)
Tools & Technologies
• Languages: Python
• ML/DL: Scikit-learn, TensorFlow, PyTorch
• Gen AI: OpenAI, LangChain, Hugging Face
• Data: Pandas, NumPy
• Deployment: Flask, FastAPI, Docker
• Cloud: AWS (EC2, S3, Lambda basics)
• Databases: PostgreSQL, MongoDB
• Vector DBs: FAISS, Pinecone
Teaching Approach
• Concept → Code → Project → Deployment
• 70% Hands-on + 30% Theory
• Real-world datasets & use cases
• Step-by-step guidance with mentorship
• Focus on building portfolio-ready projects
Click on Apply to know more.