Computer Vision Engineering Support

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We’re a diverse network of people driven by our shared ambition to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

• Site design and consulting with Professional Services before a camera deployment.
• Configuration design document preparation.
• Comprehensive configuration tasks after camera deployment, configuration review and peer review.
• Analytic accuracy measurement, end-to-end testing participation.
• Customer handover document preparation.
• Comprehensive documentation of a newly deployed site.
• Video data collection, data management.
• Close cooperation with the Student Team, task coordination and trainings.
• Product support.
• Administration of customer needs and possible solutions with the task management system of the employer, proactive development of established work methods.
• Building of the written knowledgebase.
• Responding to technical and sales requests according to internal regulations.
• Actively and proactively participates at the discussions of the different technical teams and identifies the tasks that belong to the VA Support team.
• Consulting the engineering teams in case the assistance exceeds the scope of second-line support;
• Writing documentation as needed.

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

What we’re looking for...

You’ll need to have:

• Bachelor’s degree or relevant work experience.
• Experience in administrative type of work.
• User-level technological experience in Computer Vision.
• Project management experience.

Even better if you have:

• Flexibility with regards to work schedule
• Excellent verbal and written English language skills.
• Accurate and methodical manner of work.
• People management skills.
• Advanced computer usage skills.
• Experience with machine learning technologies.
• Analytical thinking skills.