Product-company AI roles haven't reached Sangamner yet — the town's engineering talent traditionally looks to Pune or Nashik the day it graduates. This track offers a third path that didn't exist before: a fully remote seat building crop-intelligence models on real Maharashtra farm data, mentored seriously, without leaving the NH-60 corridor you call home.
Analytical talent, newly reachable
We recruit from Amrutvahini College of Engineering's CS/IT departments, Amrutvahini Polytechnic's diploma streams, and science students at Sangamner College. Selection weighs Python skill and learning velocity — not which city your campus sits in.
Models for the crops around you
Cane cycles, water-stressed scheduling, disease pressure after unseasonal rain — the modelling problems in our datasets mirror the agrarian reality visible from Sangamner's outskirts. Interns here build against stakes they understand firsthand, which shows plainly in the quality of their work.
Quick Facts for Sangamner Applicants
- Track: Artificial Intelligence & Machine Learning internship within AnaVruksha's precision-agriculture programme.
- Eligibility: Open to both diploma and engineering degree students — B.Tech/B.E./Diploma in Computer Science, AI/ML, Data Science, IT, Electronics, or related fields. Python proficiency expected; prior model experience helps but isn't assumed.
- Duration: Every internship runs in three duration options: 6 weeks, 12 weeks, or 24 weeks.
- Certification & PPO: A completion certificate is awarded on finishing your track. Strong performers are considered for performance-based conversion to a pre-placement offer after a 3-month extension.
Sangamner Artificial Intelligence & Machine Learning FAQs