AI Intern
# AI Intern **One Root (ENP Farms Private Limited)** · Electronics City, Bengaluru, Karnataka · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Indeed* --- ### About the Role About OneRoot OneRoot is an Agri-Tech and agricultural supply-chain company building a transparent and traceable farm-to-business ecosystem. We work across farmer engagement, agricultural sourcing, farm operations, contract farming, quality management, and technology-driven agricultural solutions. We are looking for an enthusiastic AI/ML Intern who is passionate about applying Artificial Intelligence and Computer Vision to solve real-world problems in agriculture. Role Overview As an AI/ML Intern , you will work on practical AI solutions involving Computer Vision, Image Detection, OCR, Object Detection, and Machine Learning for agricultural applications. You will work with real-world images and field data to develop systems that can help identify crops, detect agricultural products, analyze images, extract information, and support quality assessment and farm-level decision-making. Key Responsibilities Develop, train, test, and optimize Machine Learning and Deep Learning models . Build Computer Vision solutions for agricultural images and videos. Develop object detection and image classification models using YOLO and other suitable frameworks. Work on crop, leaf, fruit, seed, grain, and agricultural product image detection . Develop image-based solutions for identifying crop conditions, diseases, defects, and quality parameters . Implement and improve OCR systems for extracting information from images, documents, labels, invoices, and agricultural records. Perform image preprocessing, augmentation, annotation, and dataset preparation . Collect, clean, label, and analyze image and structured/unstructured datasets. Train and fine-tune deep learning models using frameworks such as PyTorch or TensorFlow . Evaluate model performance using appropriate metrics such as precision, recall, F1-score, mAP, and IoU . Experiment with different Computer Vision architectures and techniques to improve model accuracy. Work with real-world agricultural datasets and handle challenges such as different lighting conditions, backgrounds, image quality, camera angles, and field environments . Collaborate with the technology and agricultural teams to convert real-world agricultural problems into AI-based solutions. Document experiments, model performance, findings, and improvements. Required Technical SkillsComputer Vision Strong understanding of Computer Vision fundamentals . Image processing and image analysis. Image classification and image segmentation. Object detection and image recognition . Experience working with real-world image datasets. YOLO & Object Detection Practical knowledge of YOLO models. Understanding of YOLOv5 / YOLOv8 / YOLO11 or similar object detection architectures. Experience with bounding-box annotation and dataset preparation . Knowledge of IoU, mAP, precision, recall, and F1-score . Experience training or fine-tuning object detection models is preferred. OCR Understanding of Optical Character Recognition (OCR) . Familiarity with Tesseract OCR, EasyOCR, PaddleOCR , or similar technologies. Image preprocessing techniques for improving OCR accuracy. Ability to extract and structure information from images and scanned documents. Programming & ML Strong Python programming skills. Knowledge of NumPy, Pandas, OpenCV, and Matplotlib . Familiarity with PyTorch or TensorFlow . Understanding of Machine Learning and Deep Learning concepts. Basic knowledge of CNNs, transfer learning, and model fine-tuning . Familiarity with Git/GitHub is preferred. Agriculture + AI Applications The intern may work on projects such as: Crop and plant image detection Leaf and crop disease detection Chilli and turmeric image analysis Grain and agricultural commodity detection Quality and defect detection Agricultural product classification Field image analysis OCR for agricultural documents and records Computer Vision for farm monitoring AI-based agricultural data analysis and decision-support systems Who Can Apply? Students pursuing B.Tech / B.E. / M.Tech / MCA / BCA / B.Sc / M.Sc in: Artificial Intelligence Machine Learning Computer Science Data Science Information Technology Electronics / related fields Students with relevant AI/ML, Computer Vision, or OCR projects are highly preferred. Freshers and final-year students with strong technical skills are encouraged to apply. Preferred Candidate Profile We are looking for someone who: Is genuinely interested in AI/ML and Computer Vision . Has hands-on experience with YOLO or object detection . Has worked on at least one Computer Vision/OCR project . Can independently research, experiment, debug, and improve models. Is comfortable working with large image datasets. Has strong problem-solving and analytical skills. Is excited about applying AI to real-world agriculture and supply-chain problems . What You Will Gain Hands-on experience working with real-world agricultural datasets . Practical exposure to Computer Vision, YOLO, OCR, and Deep Learning . Opportunity to build AI solutions for real agricultural use cases. Experience with model training, evaluation, optimization, and deployment . Opportunity to work closely with both technology and agriculture teams . Potential opportunity for full-time employment based on internship performance . Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Flexible schedule Provident Fund Work Location: In person
Наблюдалась 2026-09-21, впервые 2026-09-21, источник — Indeed.