Remote AI Deployment Engineer — Edge & CV Systems

Safari AI inc.; United States; Remoto; USD 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

Safari AI is hiring an AI Deployment Engineer/Manager to bring computer vision deployments to life at theme parks, stadiums, and retail environments. You will own parts of deployments in the first months, collaborating with ML and Engineering teams, and travel to customer sites as needed.

You will lead hardware provisioning, on-site deployment, solution design, project coordination and ongoing customer support. The role offers rapid ownership and potential growth into senior roles over 12 months.

Competenze

• Degree or relevant field or equivalent hands-on experience.
• 0–3 years IT, system administration, network support, field engineering or similar role.
• Comfortable on the Linux command line: SSH, permissions, services, logs and basic shell scripting.
• Basic networking: IP addressing, subnets, DHCP, DNS, switches and PoE.
• Comfortable with physical hardware: racking a server, testing cables, mounting a camera.
• Strong troubleshooting habits with step-by-step problem narrowing.
• Clear written and verbal communication with teammates and customers.
• Organized, detail-oriented and quick learner in new tech environments.

Mansioni

• Set up and configure edge computers, cameras, switches and modems before shipment.
• Travel to customer sites to install and connect devices and verify streams.
• Run pre-deployment assessments on inventory, network layout, bandwidth and VPNs.
• Track hardware inventory, coordinate shipping and maintain status reports.
• Be the technical contact for customers during deployment and monitoring.
• Create installation guides, SOPs and leverage AI tools to automate tasks.

Conoscenze

Linux CLI

Networking

Troubleshooting

Communication

Documentation

Formazione

Degree or related field or equivalent experience

Strumenti

Ansible

Docker

OpenVPN/WireGuard

Descrizione del lavoro

Safari AI is hiring an AI Deployment Engineer/Manager to bring computer vision deployments to life at theme parks, stadiums, and retail environments. You will own parts of deployments in the first months, collaborating with ML and Engineering teams, and travel to customer sites as needed.

You will lead hardware provisioning, on-site deployment, solution design, project coordination and ongoing customer support. The role offers rapid ownership and potential growth into senior roles over 12 months.