Computer Vision AI Engineer
Insight Global
Chicago, IL, United States
8 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Computer Vision
Machine Learning
Object Detection
Large Language Models
Model Validation
Data Strategy
Text Analysis
Requirements
- 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
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