Artificial Intelligence & Machine Learning Internship

About This Internship

The combined AI & ML track covers the full landscape: computer-vision models reading crop stress from imagery, retrieval-augmented language-model pipelines turning agronomy knowledge into farmer-ready advisories, statistical learning over noisy soil/weather sensor streams, and quantised edge deployment so predictions survive rural connectivity. A capstone ships an end-to-end intelligence feature.

Duration & How It Works

• Duration: Every internship runs in three duration options: 6 weeks, 12 weeks, or 24 weeks.
• Modes: Remote-friendly, Hybrid (periodic Nashik lab weeks), In-person at Nashik HQ. The remote option is genuine for this track — the work is software-based.
• 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.

Technologies & Tools

What You Will Learn

• Build and train agricultural computer vision models
• Develop crop disease detection pipelines
• Engineer features from real agricultural sensor datasets
• Understand ML deployment in edge computing environments
• Work with real-world agricultural datasets

Who Can Apply

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.

Where Our Interns Work From

We recruit this cohort from across Maharashtra. Choose your base: