Video Analytics Engineer

  • Memphis, TN
  • Posted 16 hours ago | Updated 16 hours ago

Overview

On Site
Depends on Experience
Full Time
No Travel Required

Skills

Smart Cities experience
Computer Vision Principles
Video Analysis
Python
Video Segmentation
Docker
Kubernetes
experience with Bosch
Hanwha
Genetec
Samsara is a plus

Job Details

BG Staffing is currently searching for a Video Analytics Engineer

  • Video analytics and Computer Vision technology can transform cities into smarter, safer, and more efficient environments.
  • AI-powered video analysis can monitor congestion, detect accidents, and adjust traffic signals dynamically to improve flow.
  • Computer vision can identify suspicious activities and enhance emergency response by analyzing live video feeds.
  • Smart parking systems can use video analytics to detect available spots. Video analytics can identify potholes in roads and bridges.
  • Cities worldwide are integrating these technologies to improve urban living.
  • Responsibilities include detecting complex events from video streams, designing fully contextualized and actionable alerts, and developing automated workflows

Responsibilities

  • Assist with video camera initial set up, configuration, management, instrumentation, monitoring, and security configurations.
  • Evaluate third-party computer vision tools and libraries to drive innovation and automation.
  • Implement algorithms for object tracking, unusual pattern recognition and scene detection.
  • Optimize algorithms performance and solution reliability in real-time video workflows.
  • Integrate machine learning models from different vendors with Enterprise Video Management Systems and workflow engines.
  • Design, develop, and deploy scalable comprehensive computer vision solutions to enable Smart City use cases

Qualifications

  • Good understanding of computer vision principles as used in video analysis.
  • Familiarity with algorithms for object/people detection, image and video segmentation, background subtraction.
  • Background in data analytics and data science.
  • Experience with Python development.
  • Experience with Docker and Kubernetes for containerization and orchestration.
  • Strong problem-solving and debugging skills.
  • Self-starter with a passion for innovative technology.
  • Commitment to learning with ability to self-study and obtain required technical certifications.
  • Experience with and certification from Bosch, Hanwha, Genetec, Samsara, and competing technology providers will be very helpful.
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