Video Analytics Lead

Overview

Head up Video analytics practice leveraging a combination of computer vision, AI, and video analytics experience to augment our extensive camera network and software platform. 

This role will research, evaluate, implement, and support best-of-breed video analytics solutions to integrate into our market-leading application to deliver cutting edge video AI and classification technology as a commercial service to our clients.

The Video Analytics Lead will work with our technology and software development teams to ensure we at the forefront of Video AI.

Responsibilities

• Analyse and optimize current usage of Video Analytics.
• Make recommendations to both internal and external stakeholders on how video analytics should be implemented.
• Become the computer vision subject matter expert in our business.
• Perform competitive analysis and recommend improvements and enhancements.
• Assist with optimisation of our  platform for processing of video analytics.
• Train and mentor operational staff on optimal configuration of video analytics.
• Keep up to date with the latest trends in video analytics technology.
• Brief development teams on integration to existing software platforms
• Source and recommend video analytics solutions for market vertical applications (retail, manufacturing, public safety, etc.)
• Optimise existing analytics for peak performance and accuracy.
• Work with the product and sales teams to ensure we develop viable commercial offerings.
• Improve operational efficiency and effectiveness of video analytics at scale

Qualifications

• Degree/ Diploma in Information Technology
• Experience with Video Analytics, computer vision, YOLO, OpenCV or other deep learning technologies
• Tertiary qualification in Machine Learning principles and implementation

Skills & Experience

• A minimum 5 years experience in an IT role
• Experience with IP video management systems and video analytics
• Experience working with IP video surveillance cameras.
• Knowledge of video analytics market, capabilities, and limitations
• Have strong interpersonal and communication skills with staff at various levels.
• Creative, solution driven attitude
• Be willing to work in an agile environment where changes are frequent, and technologies evolve