As a Manual Testing intern at Bytesview Analytics Private Limited, you will have the exciting opportunity to work with cutting-edge technologies and gain hands-on experience in software testing. Your role will involve testing various software applications, analyzing test results, and ensuring the quality of our products. Key Responsibilities: 1. Conduct manual testing of software applications to identify bugs and issues 2. Create test cases and test scripts to ensure comprehensive test coverage 3. Work with tools like Postman, Selenium, and Firebase to enhance testing efficiency 4. Collaborate with the development team to troubleshoot and resolve issues 5. Document test results and provide detailed reports to the team 6. Participate in test planning and strategy discussions to improve testing processes 7. Stay up-to-date with industry trends and best practices in software testing to enhance your skills and knowledge. If you are a detail-oriented individual with a passion for quality assurance and a strong understanding of manual testing, then this internship is perfect for you. Join us at Bytesview Analytics Private Limited and take the first step towards a successful career in software testing. Apply now! Other requirements B.Tech/BE Preferred Interview mode is only offline, so apply only if you can attend the interview in Offline mode. Job Type: Internship Contract length: 3 months Pay: ₹7,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Fixed shift Monday to Friday Application Question(s): Interview Mode is only in offline mode. Are you okay with attending a face-2-face interview at Noida Sector 59? Location: Noida, Uttar Pradesh (Required) Work Location: In person Application Deadline: 31/05/2025

Education Preference- Only B.tech CS/IT Graduate from the batch of 2025/2024 Job Description- Key Responsibilities: Collect and curate large-scale botanical image datasets, including scraping from online sources and organizing local image repositories with proper structure and naming conventions. Manually annotate plant images with precision (leaf, flower, fruit, stem, etc.) using tools like CVAT, LabelImg, or Labelme, while ensuring consistency and reviewing for quality. Assist in the pre-processing of image data (e.g., resizing, filtering, normalization, and augmentation) and monitor automated pipelines for correctness and completeness. Help validate annotations and perform sanity checks through basic machine learning inference (e.g., verifying predictions from classification or segmentation models). Collaborate closely with ML teams to flag edge cases, improve annotation guidelines, and maintain high data hygiene throughout the pipeline. Requirements: Prior experience handling large-scale image datasets (ideally in the terabyte range) and a strong understanding of digital image formats and metadata handling. Knowledge of plant/botanical structures and ability to visually distinguish between different parts (e.g., leaf vs. flower), preferably with academic or project exposure. Proficiency in basic Python scripting — familiarity with os, pandas, opencv, Pillow and ability to automate repetitive data handling tasks. Understanding of image annotation workflows and tools (CVAT, LabelImg, Labelme), plus familiarity with pre-processing and augmentation techniques commonly used in computer vision. Basic exposure to machine learning concepts such as image classification, segmentation, and inference, along with the discipline to carry out repetitive annotation tasks with high accuracy. Job Types: Full-time, Internship Contract length: 3 months Pay: ₹7,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Fixed shift Monday to Friday Location: Noida, Uttar Pradesh (Required) Work Location: In person Application Deadline: 26/07/2025