AI Intern
Global Talent
English
Computer sciences, Computer engineering, Software development and programming
Unpaid
About M.A.H.E.
Role
1. Review the project brief, objectives, and supporting material to understand the scope and expected outcome.
2. Carry out the main task described in the submission, including developing ml models for water quality prediction (ph, salinity, tds, etc.). analyze environmental datasets for pattern recognition. design intelligent monitoring frameworks (conceptual/prototype level). perform data preprocessing and feature engineering. prepare technical reports and visualization dashboards..
3. Develop, implement, or refine the central solution for ai intern water quality prediction & intelligent monitoring, whether that involves a model, prototype, simulation, or analytical workflow.
4. Test and evaluate intermediate results, compare alternatives, and improve the approach based on performance or observations.
5. Document methods, assumptions, findings, and final results for reporting, discussion, or publication.
Working hours
Monday to Friday
9:00 am - 5:00 pm
Process
STEP 1
Processing CVsSTEP 2
Interview with Professor