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    Engineering Internship

    Artificial Intelligence & Machine Learning Internship

    Remote-friendly • Hybrid (periodic Nashik lab weeks) • In-person at Nashik HQ

    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

    PythonTensorFlowPyTorchOpenCVYOLOHugging Face TransformersScikit-learnXGBoostONNX Runtime

    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:

    Artificial Intelligence & Machine Learning Internship FAQs

    Questions students ask us

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