
Computer Vision Architect
22 hours ago
We are seeking a highly skilled and experienced professional to lead the development and deployment of scalable computer vision solutions, with a focus on video processing and anomaly detection.
This role is critical in building a robust, large-scale computer vision platform, leveraging expertise in Python and cutting-edge computer vision libraries.
Main Responsibilities:
- Design, develop, and deploy advanced computer vision solutions for real-time video processing and anomaly detection.
- Implement and optimize deep learning models, leveraging frameworks like YOLO (Ultralytics) and MMDetection for object detection and classification tasks.
- Build scalable, production-ready pipelines that can handle large volumes of video data efficiently.
- Collaborate with cross-functional teams to define requirements, design robust architectures, and deliver high-quality software solutions.
- Continuously research and integrate the latest advancements in computer vision and deep learning into the platform.
- Write clean, maintainable, and well-documented Python code.
- Mentor junior team members and foster a collaborative and supportive environment.
Required Skills and Qualifications:
- Strong programming skills in Python, with experience in computer vision and deep learning.
- Familiarity with popular frameworks like YOLO and MMDetection.
- Ability to design and develop scalable computer vision solutions.
- Excellent collaboration and communication skills.
- Experience working with large datasets and efficient data processing.
Benefits:
The successful candidate will have the opportunity to work on cutting-edge projects, collaborate with a talented team, and contribute to the development of a robust computer vision platform. Additionally, they will receive comprehensive training and mentorship to ensure their success in this challenging role.
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