As an intern at Wyr.AI, you will be responsible for the following day-to-day tasks: - Annotating and labeling data accurately in accordance with project requirements. - Collaborating closely with team members to ensure uniformity and excellence in annotation tasks. - Reviewing annotated data and providing constructive feedback to enhance model performance. - Maintaining meticulous records and documentation of annotation work for reference and quality assurance. - Participating actively in training sessions to enhance annotation skills and stay updated on industry knowledge. - Engaging in effective communication with team members and stakeholders to drive the success of projects. About Company: Welcome to Wyr.AI! We are a pioneering XR and AI product company dedicated to pushing the boundaries of technology and innovation. Our cutting-edge solutions leverage Extended Reality (XR) and Artificial Intelligence (AI) to transform industries, offering groundbreaking applications in visual quality inspection, warehouse management, virtual showrooms, and more. At Wyr.AI, our vision is to bridge the gap between imagination and practicality. Through the power of XR and AI, we aim to develop transformative solutions that optimize industries, simplify complex tasks, and empower companies to reach their maximum potential. Our commitment to excellence drives us towards a future where businesses flourish and human experiences are enhanced through immersive digital solutions. If you are passionate about driving technological advancement, solving real-world challenges, and creating a lasting impact, Wyr.AI is the perfect place for you!,
As an intern at Wyr.AI, your day-to-day responsibilities will include: Annotating and labeling data accurately according to project requirements. Collaborating with team members to ensure consistency and quality in annotation tasks. Reviewing and providing feedback on annotated data to improve model performance. Maintaining detailed records and documentation of annotation work. Participating in training sessions to enhance annotation skills and knowledge. Communicating effectively with team members and stakeholders to ensure project success. Welcome to Wyr.AI, a trailblazing XR and AI product company that revolutionizes industries through cutting-edge technology. At Wyr.AI, we unleash the full potential of Extended Reality (XR) and Artificial Intelligence (AI) to deliver unparalleled solutions for visual quality inspection, warehouse management, virtual showrooms, and beyond. Our vision at Wyr.AI is to bridge the gap between imagination and practicality. By harnessing the potential of XR and AI, we strive to create transformative solutions that optimize industries, simplify complex tasks, and enable companies to unlock their fullest potential. Our pursuit of excellence fuels a world where businesses thrive and the human experience is enriched through immersive digital experiences. If you're passionate about pushing the boundaries of technology, solving real-world challenges, and making a lasting impact, Wyr.AI is the place for you!,
As an AI Engineer at Wyr.AI Private Limited in New Delhi, your main responsibility will be to develop and implement computer vision algorithms, focusing specifically on YOLO models for object detection. You will also be engaging in pattern recognition tasks, software development, and integrating neural networks to improve AI-driven applications. Key Responsibilities: - Develop and implement computer vision algorithms, with a specialization in YOLO models for object detection. - Perform pattern recognition tasks to optimize the performance of AI-driven applications. - Work collaboratively with the team to integrate neural networks and improve software development processes. Qualifications Required: - Expertise in Pattern Recognition and Computer Science. - Proficiency in Neural Networks and Software Development. - Experience with Natural Language Processing (NLP). - Strong analytical and problem-solving skills. - Ability to work independently and in a team environment. - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Previous experience in AI, machine learning, or computer vision projects is advantageous.,