Computer Vision Engineer

• Learn, maintain, and improve the synthetic data pipeline and automated training system
• Take ownership of a model and improve it with an agent loop that generates its own data
• Build closed loops where agents train detectors and classifiers, test them against validation sets, and improve them with minimal human input
• Design systems that handle field false positives, flag uncertain detections, and automatically fix the rest
• Lead research on vision-language models, fine-tune them for specific tasks, and use agents to track current techniques
• Solve detection and classification problems for customers and partners by building new models or extending existing ones
• Apply agents to QA automation and code bases that find and fix their own bugs
• Share successful approaches with the team and present results to customers when needed

Explore AI Engineer, Computer Vision at CVEDIA. Review requirements and application details.