Industry Mentor: AI Engineering & MLOps
Role Overview
This role is for experienced practitioners who can teach clearly.
We are hiring an industry mentor for Saarathi's AI Engineering & MLOps micro - batch.
The Mission:
Help advanced learners build AI products that are useful - reliable - and ready for real - world constraints.
This is a part - time role for a small batch of learners. You will teach - review work - and guide learners with clear - practical feedback.
The Setup:
- On - site: Face - to - face mentoring in Kathmandu.
- ~15 hours/week: Flexible enough to work alongside your main job....
What You Will Do
- Teach learners how to turn promising prototypes into reliable production systems.
- Show them how to handle evaluation - data flow - latency - cost - and deployment with care.
- Help them build AI products that are useful - testable - and maintainable.
- Push learners to think clearly about failure cases - hallucination risk - monitoring - and model quality.
- Take ownership of full - cycle mentorship: running lectures - making teaching materials - tracking student progress - and guiding real - world projects.
- Help learners become job - ready through clear feedback - practical standards - and realistic project work....
What We Are Looking For
- You have built or improved AI systems in production.
- You understand that good AI work depends on evaluation - data quality - and practical engineering.
- You can explain modern AI architecture without turning it into hype or jargon.
Perks and Benefits
- Help move the local AI ecosystem beyond shallow demos.
- Teach advanced learners who want serious technical depth.
- Work with a serious curriculum built for real - world AI product thinking.
- Clear and fair compensation paid on a per - batch basis.
- A schedule that fits around your main role.
Skills and technologies
Quick info
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Apply for Industry Mentor: AI Engineering & MLOps
Keep it simple and honest. We will reach out by email if shortlisted.
Mentor application: AI Engineering & MLOps
This role is built for a focused micro-batch of 8 learners over 12-16 weeks. Plan for about 18 hours per week across sessions, preparation, and learner feedback.
- We want mentors who know their field well and can teach clearly to beginners.
- Many mentors do this alongside their current role, freelance work, or other major commitments.
- A short intro video helps us most. Tell us about yourself, why you want to teach, or anything else that shows why you are a strong fit. A simple phone or laptop video is enough. We care about clarity, not polish.
Industry Mentor: AI Engineering & MLOps

