> Markdown version of [/jobs/ext/3866221-computer-vision-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3866221-computer-vision-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Computer Vision AI Engineer - **Company:** Insight Global - **Location:** Chicago, IL, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, Machine Learning, Object Detection, Large Language Models, Model Validation, Data Strategy, Text Analysis - **Published:** October 22, 2026 - **Apply:** https://dejobs.org/x/x/5C51BD030CD14B56B902840DF37E89D4/job/ ## About the Role * Senior-level experience delivering end-to-end ML systems (problem definition * data strategy * model development * evaluation * deployment) * Strong computer vision expertise, specifically object detection models (YOLO required) * Hands-on experience using LLMs via API (GPT-4o or similar) in production or near-production environments * Experience with multimodal AI (image + text analysis) * Proven ability to work with multilingual text data * Experience building solutions in compliance-sensitive environments (accuracy, documentation, traceability) * Strong understanding of model evaluation metrics (false positives/negatives, edge case handling), * Senior-level experience delivering end-to-end ML systems (problem definition * data strategy * model development * evaluation * deployment) * Strong computer vision expertise, specifically object detection models (YOLO required) * Hands-on experience using LLMs via API (GPT-4o or similar) in production or near-production environments * Experience with multimodal AI (image + text analysis) * Proven ability to work with multilingual text data * Experience building solutions in compliance-sensitive environments (accuracy, documentation, traceability) * Strong understanding of model evaluation metrics (false positives/negatives, edge case handling) * Lead end-to-end development of AI models for sustainability claim verification * Build and train YOLO-based logo detection models, including labeling strategy and data quality iteration * Develop and implement LLM-based verification workflows using GPT-4o API for text and multimodal analysis * Define and refine claim verification logic and model evaluation methodology * Work with datasets including artwork/images, sustainability claims, multilingual text, and compliance data * Collaborate with internal stakeholders to define what qualifies as a "verifiable claim" and required evidence * Deliver a production-ready pipeline and support integration into business workflows (e.g., dashboards or tools) * Document methodology, testing results, and deployment recommendations