Technical Support Engineer - AI and Computer Vision - Remote

Overview

Protex AI is a VC-backed technology company building a privacy-preserving computer vision platform to enable proactive Health and Safety (EHS) workflows. We leverage the domain knowledge of EHS teams to help our computer vision system understand the concept of danger, preventing accidents before they occur.

In Short

• Develop and maintain strong relationships with key stakeholders, including customers, partners, and industry influencers.
• Collaborate across teams (Engineering, Product, Client Success) to ensure effective problem resolution.
• Support client-facing teams with explanations of complex problems to non-technical stakeholders via calls, emails and documentation.
• Debug and resolve camera-related and networking issues across client installations using Linux systems via AWS.
• Monitor and investigate system issues using AWS CloudWatch analysing error codes and logs to identify root causes.
• Troubleshoot integration issues between edge devices and cloud (database), ensuring uninterrupted system performance.
• Provide escalated technical support for system installations and deployments.
• Debug Python and JavaScript code as needed to resolve client-facing issues.
• Contribute to the continuous improvement of processes, tools and systems, documenting technical solutions and for the purposes of knowledge base development.

Requirements

• Minimum of 2 years of experience in a technical role, preferably in the AI or computer vision industry.
• Excellent communication and presentation skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.
• Self-motivated and results-oriented, with a strong sense of ownership and accountability.
• Bachelor's degree in Computer Science, Engineering, or a related technical field is preferred.
• Willingness to travel as required for client meetings, conferences, and on-site visits.
• Excellent stakeholder management and relationship management skills.
• Demonstrated AWS experience.
• Demonstrated expertise with Python coding language.
• Demonstrated experience with technical tools, including AWS Console (or other cloud services tool) and Git.
• Demonstrated experience with Linux/Unix, including Networking on Linux/Unix and Command Line interface.

Benefits

• Inclusive and equal opportunities employer.
• Commitment to creating an equitable workplace for everyone.