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Job details:
AI Industry Mentor (GenAI & ML Bootcamp)
Company: MindLit Academy
Location: Delhi NCR (Hybrid — Offline/ Online)
Type: Part-time / Contract / Cohort-Based
About Mindlit Academy
Mindlit Academy is building industry-focused AI education programs designed specifically for engineering students.
Our goal is to bridge the gap between traditional college learning and real-world AI workflows through:
- hands-on implementation,
- project-based learning,
- modern GenAI tooling,
- and industry mentorship.
We focus on practical exposure rather than theoretical learning.
Role Overview
We are looking for experienced AI/ML professionals to mentor engineering students through a hybrid GenAI & Machine Learning bootcamp.
We are specifically looking for industry professionals who can bring practical insights, modern AI workflows, and real-world implementation experience into the classroom.
The engagement involves:
- weekend offline sessions in Delhi NCR,
- weekday online sessions,
- and hands-on project mentoring.
What You’ll Teach
Depending on your expertise, modules may include:
- AI ecosystem & industry roadmap
- Python fundamentals
- VS Code & GitHub workflows
- Data preprocessing & visualization
- Machine Learning basics & classification models
- LLMs & prompt engineering
- RAG pipelines
- Vector embeddings & semantic search
- Vector databases
- Agentic AI concepts
- End-to-end AI project implementation
Ideal Candidate
We’re looking for professionals with:
- 3–7 years of industry experience
- strong Python fundamentals
- practical AI/ML project exposure
- excellent communication & presentation skills
- ability to simplify technical concepts for students
Preferred Skills
- Experience with modern GenAI stacks
- OpenAI / Gemini APIs
- LangChain / LlamaIndex
- Pinecone / FAISS / ChromaDB
- Real-world AI product development
- Startup or product engineering experience
- Public speaking / workshop experience
Teaching Format
- offline weekend sessions (Delhi NCR)
- online weekday sessions
- Project-based hybrid cohorts
- Small batch sizes with high interaction
Why Join Us
- Flexible cohort-based engagement
- Opportunity to mentor ambitious engineering students
- Build your professional teaching/public profile
- Contribute to next-generation AI education
- Work on practical, modern AI curriculum
Compensation
Flexible compensation structure:
- Cohort-based
- Session-based
Compensation will depend on experience and engagement format.
To Apply
Please share:
- your LinkedIn profile,
- resume,
- and any prior teaching/workshop experience.
- We’d especially love to hear from professionals who enjoy simplifying complex AI concepts and mentoring future builders.
Click on Apply to know more.