About this Role:
Remember that one teacher who made a scary topic suddenly make sense?
Be that person for someone.
At Masai, our students are career switchers, fresh graduates and working professionals who want a better job and a better life. Many of them are one "aha" moment away from getting there. You could be the one who gives it to them.
What you'll do
- Answer student questions on chat during live classes. Think of it as being the calm, smart friend in the group chat.
- Mentor students in groups and sometimes one-on-one. You help them debug their code, understand why a model behaves the way it does and believe in themselves.
When you'll work
- Weekdays from 8:00 PM
- Weekends
It fits neatly around your day job or research.
Why this matters
Every student has a question they're scared to ask. As their mentor, you're the one they ask without feeling judged. "Dumb" questions are never dumb. Answer one and it clicks. That's the magic: you help someone upskill and change their life.
You might forget the doubt you cleared on a Tuesday night. They won't.
Every good teacher learns twice.
What you should know well
- Python for data science, plus Git and GitHub
- Working with data: cleaning, exploring and visualizing it
- SQL
- The math behind ML: statistics, probability, linear algebra and calculus basics
- Machine learning: building, evaluating and improving models
- Deep learning and neural networks
- NLP and transformers
- Generative AI: LLMs, prompting, RAG and AI agents
- Deploying models as easy apps or APIs
- Responsible AI: bias, privacy and safety basics
- Problem framing: knowing when ML is the right tool and linking results to business decisions
- End-to-end projects that students can show to employers
- Time series, A/B testing, reinforcement learning or cloud tools are a bonus
Who can apply
You should be one of these:
- A working professional with 1+ year of experience in data science, machine learning, AI or a related role
- A PhD scholar in
📌 Teaching Assistant (India)
🏢 Masai
📍 India