Advanced Computer Vision Engineer Position

3 days ago

Rawalpindi Cantonment, Pakistan beBee Careers Full time
Senior Software Developer - Computer Vision Position

We are seeking a highly skilled and experienced Senior Software Developer to join our dynamic team. In this role, you will lead the development and deployment of scalable computer vision solutions, with a focus on video processing and anomaly detection.

You will play a critical role in building a robust, large-scale computer vision platform, leveraging your expertise in Python and cutting-edge computer vision libraries.

The ideal candidate will have a strong background in software development, with experience working with computer vision frameworks, particularly YOLO (Ultralytics) and MMDetection.

  • 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.

A successful candidate will possess a deep understanding of computer vision concepts, such as object detection, tracking, and anomaly detection, as well as hands-on experience in building scalable and reliable solutions for video data processing and real-time analysis.

This position requires a strong problem-solving skills and a passion for exploring new technologies, with proficiency in English, both written and spoken.

A team player with a collaborative mindset and a positive attitude is essential for this role.

Requirements:

  • 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:

  • 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.
  • Ability to present complex technical concepts to non-technical stakeholders clearly.

Personal Attributes:

  • 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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