AI Intern

Role Overview

Key Responsibilities

• Develop, train, test, and optimize machine learning and deep learning models.
• Build computer vision, object detection, image classification, and OCR solutions for agricultural images, videos, documents, labels, invoices, and records.
• Prepare datasets through image preprocessing, augmentation, annotation, collection, cleaning, labeling, and analysis.
• Train and fine-tune models using PyTorch or TensorFlow and evaluate them with precision, recall, F1-score, mAP, and IoU.
• Collaborate with technology and agriculture teams and document experiments, findings, performance, and improvements.

Required Technical Skills

• Strong computer vision fundamentals, including image processing, image analysis, classification, segmentation, object detection, and image recognition.
• Practical YOLO knowledge, bounding-box annotation, dataset preparation, and understanding of IoU, mAP, precision, recall, and F1-score.
• OCR understanding and familiarity with Tesseract OCR, EasyOCR, PaddleOCR, or similar technologies.
• Strong Python skills with NumPy, Pandas, OpenCV, and Matplotlib.
• Knowledge of machine learning, deep learning, CNNs, transfer learning, and model fine-tuning.
• Familiarity with PyTorch or TensorFlow is required; Git or GitHub familiarity is preferred.

Who Can Apply

• Students pursuing specified technical degrees in AI, machine learning, computer science, data science, IT, electronics, or related fields.
• Freshers and final-year students with strong technical skills are encouraged to apply.
• Relevant AI/ML, computer vision, or OCR projects are highly preferred.
• Hands-on YOLO or object detection experience, a computer vision or OCR project, independent research ability, and comfort with large image datasets are preferred.

Pay

• Pay ranges from ₹10,000 to ₹15,000 per month.

Benefits

• Flexible schedule and Provident Fund.
• Potential full-time employment opportunity based on internship performance.

Work Location

• Work location is in person.