Video Analytics Lead

Sydsen; Johannesburg; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A leading company in the IT industry seeks a Video Analytics Lead to optimize and implement video analytics solutions in Johannesburg. The ideal candidate will have a degree in IT, expertise in machine learning, and at least 5 years of experience in relevant IT roles, ensuring operational efficiency and effective solutions for various market applications.

Qualifications

• A minimum of 5 years' experience in an IT role.
• Experience with IP video surveillance cameras.
• Knowledge of video analytics market and capabilities.

Responsibilities

• Analyse and optimise current usage of Video Analytics.
• Train and mentor operational staff on video analytics configuration.
• Make recommendations to stakeholders on video analytics implementation.

Skills

Video Analytics

Computer Vision

Machine Learning

Interpersonal Skills

Communication Skills

Education

Degree / Diploma in Information Technology

Tertiary qualification in Machine Learning principles

Tools

YOLO

OpenCV

IP video management systems

Job description

Our client in the IT Industr y is looking for a Video Analytics Lead to join their team in Johannesburg, Gauteng.

Minimum Requirements :

• 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
• 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.
• Be willing to work in an agile environment where changes are frequent, and technologies evolve

Duties and Responsibilities :

• Analyse and optimise 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