in Generative AI and Data Science. We need a trainer who can bridge the gap between traditional Machine Learning and modern GenAI, teaching students how to build and deploy AI models from scratch using Python.
Supervised & Unsupervised Learning algorithms.
Neural Networks using
TensorFlow
or
PyTorch
.
Natural Language Processing (NLP) concepts.
3. Generative AI (Expert Level):
LLMs:
Working with OpenAI APIs, LangChain, and Llama Index.
RAG Framework:
Teaching Retrieval-Augmented Generation for custom data.
Fine-tuning:
Knowledge of fine-tuning open-source models (Hugging Face).
Prompt Engineering:
Advanced techniques for developers.
Key Responsibilities
Delivering high-end technical training on Python, ML, and GenAI.
Guiding students through end-to-end projects (e.g., Building a custom Chatbot or Predictive Model).
Developing a curriculum that covers everything from "Python Basics" to "Deploying AI Models."
Conducting code reviews and technical assessments.
Candidate Profile
Experience:
Minimum 2-4 years in AI/ML development or training.
Tech Stack:
Python, SQL, Git, API Integration, and Cloud (AWS/Azure) basics.
Soft Skills:
Ability to break down complex mathematical concepts into easy-to-understand logic.