Industry AI Mentor

Company: MindLit Academy

Location: Delhi NCR (Hybrid — Offline/ Online)

Type: Part-time / Contract / Cohort-Based

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.

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.
  

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

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

• 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

• offline weekend sessions (Delhi NCR)
• online weekday sessions
• Project-based hybrid cohorts
• Small batch sizes with high interaction

• 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

Flexible compensation structure:

• Cohort-based
• Session-based

Compensation will depend on experience and engagement format.

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.