
Senior Computer Vision Developer
2 weeks ago
We are seeking an experienced Computer Vision expert to join our team and contribute to the development of scalable computer vision solutions. The ideal candidate will have a strong background in Python, computer vision concepts, and deep learning models.
The successful candidate will be responsible for designing, developing, and deploying advanced computer vision solutions for real-time video processing and anomaly detection. They will work closely with cross-functional teams to define requirements, design robust architectures, and deliver high-quality software solutions.
Key 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.
- Mentor junior team members and foster a collaborative and supportive environment.
Qualification:
- 5+ years of experience as a software developer with a strong emphasis on Python.
- Proven experience working with computer vision frameworks, particularly YOLO (Ultralytics) and MMDetection.
- Hands-on experience in building scalable and reliable solutions for video data processing and real-time analysis.
- Deep understanding of computer vision concepts, such as object detection, tracking, and anomaly detection.
- Familiarity with cloud-based architectures and containerization technologies (e.g., Docker, Kubernetes) to support large-scale deployments.
- Strong problem-solving skills and a passion for exploring new technologies.
- Proficiency in English, both written and spoken.
- Team player with a collaborative mindset and a positive attitude.
Technical Skills:
- Experience with GPU acceleration for video and image processing workloads.
- Familiarity with streaming video frameworks and real-time data processing (e.g., GStreamer, FFmpeg).
- Knowledge of performance profiling and optimization of deep learning models.
- Experience with CI/CD pipelines and DevOps practices.
Skill Sets:
- Proactive and self-motivated with a drive to deliver outstanding results.
- Adaptable and open to feedback, with a growth mindset.
- Strong attention to detail and a commitment to producing high-quality work.
- Natural curiosity and enthusiasm for learning and sharing knowledge with others.
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