Oracle Database Engineer resolving geospatial database issues in a fast, agile environment. Leading development of production - ready systems and ensuring data high availability and integrity.
About the role
- Computer Vision Engineer developing real-time low latency video camera software for broadcasting applications. Focus on image processing and integration in resource-constrained environments.
Responsibilities
- Develop and implement computer vision algorithms for tasks such as image segmentation, object detection and image classification.
- Integrate computer vision algorithms (internal and external) and models into real-time broadcasting applications
- Collect, and annotate 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 function and performance of computer vision models using appropriate metrics and benchmarks.
- Build virtual camera drivers to enhance video output for streaming platforms.
- Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation.
Requirements
- Bachelor’s or master’s degree in computer science, or a related field
- Proven experience in developing and implementing computer vision algorithms and AI models
- Proficiency in programming languages such as Python or C++
- Familiarity with computer vision libraries such as OpenCV
- Strong problem-solving skills and attention to detail
- Excellent communication and teamwork abilities
Benefits
- Opportunity to make an impact globally
- Opportunity for personal and professional growth
- #LifeAtRazer experience
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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