Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities :
- Develop and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and image classification.
- Design and architect computer vision systems to meet specific requirements and objectives.
- Collect, curate, and annotate large datasets of images or videos for training and evaluation of computer vision models.
- Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries.
- Evaluate the performance of computer vision models using appropriate metrics and benchmarks.
- Integrate computer vision algorithms and models into larger software systems or products.
- Conduct testing and validation to ensure the functionality, reliability, and accuracy of computer vision systems.
- Document design specifications, technical requirements, and implementation details for computer vision solutions.
- Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation.
- Consider ethical, legal, and regulatory implications in the development and deployment of computer vision systems
Pre-Requisites :
- Bachelor's or master's degree in computer science, Electrical Engineering, or a related field.
- Proven experience in developing and implementing computer vision algorithms and models.
- Proficiency in programming languages such as Python or C++.
- Strong understanding of image and video processing techniques and methodologies.
- Familiarity with computer vision libraries such as OpenCV.
- Experience with data collection, annotation, and preparation for model training.
- Ability to evaluate and optimize model performance using appropriate metrics and benchmarks.
- Experience integrating computer vision solutions into software systems or products.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilitie
Are you game
