Johannesburg: Video Engineer posted by SydSen Recruit

Qualifications and Experience:

• Degree/Diploma in Information Technology.
• A minimum of 5 years experience in an IT role.
• Experience with implementing, maintaining, and optimising large, enterprise-grade Video Management Systems.
• Experience with implementing, maintaining, and optimising large, enterprise-grade Video Analytics Systems.
• Experience with Video Analytics, computer vision, YOLO, OpenCV, or other deep learning technologies would be beneficial.
• Experience working with IP video surveillance cameras.
• Knowledge of the video surveillance 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.
• Experience with top-tier Video Management systems such as Milestone XProtect, HikCentral Professional, or similar.
• Experience with Video analytics systems such as iSentry, Deep Alert, or similar.
• A good understanding of Windows and Linux server environments.
• A good understanding of basic networking concepts.

Duties and Responsibilities:

• Analyse and optimize current Video Management Systems.
• Analyse and optimize current usage of Video Analytics.
• Make recommendations to both internal and external stakeholders on how video management systems and analytics should be implemented and optimised.
• Become the video surveillance subject matter expert in our business.
• Perform competitive analysis and recommend improvements and enhancements.
• Assist with optimisation of the organisation’s video platforms.
• Train and mentor operational staff on optimal configuration of video analytics.
• Keep up to date with the latest trends in video surveillance 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 video analytics for peak performance and accuracy.
• Optimise existing video management systems.
• Work with the product and sales teams to ensure we develop viable commercial offerings.
• Improve operational efficiency and effectiveness of video systems at scale.