Job Openings
Video Analytics Lead
About the job 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