Senior Computer Vision Developer

2 weeks ago


Rawalpindi Cantonment, Pakistan beBeeExpert Full time
Computer Vision Expert Sought

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.
Requirements

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.
Preferred Skills:

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.
Personal Attributes:

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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