Senior Computer Vision AI Engineer - YOLO & Multimodal LLMs

Insight Global; Chicago (IL); On-site; USD 180,000 - 220,000; Full time

Job summary

Insight Global is seeking a senior ML engineer to lead end-to-end ML initiatives in a vision-focused, multilingual context. You will drive problem definition, data strategy, model development, evaluation, and deployment in production or near-production environments.

You will build YOLO-based logo detectors, implement LLM workflows via GPT-4o, and ensure robust compliance, traceability, and production-ready delivery for sustainability claim verification.

Qualifications

• Senior-level experience delivering end-to-end ML systems.
• Expertise in computer vision with YOLO.
• Hands-on use of GPT-4o or similar via API.
• Experience with multimodal AI and multilingual text.
• Experience in compliance-sensitive environments with traceability.
• Strong ability to define evaluation metrics and edge cases.

Responsibilities

• Lead end-to-end development of AI models for sustainability claim verification.
• Build and train YOLO-based logo detection models with data quality iteration.
• Develop LLM-based verification workflows for text and multimodal data.
• Define verification logic and evaluation methodologies.
• Deliver production-ready pipelines and integrate into business tools.
• Document methodology, testing results, and deployment guidance.

Skills

End-to-end ML systems

Computer vision

YOLO object detection

LLMs via API

Multimodal AI

Multilingual text data

Compliance-sensitive environments

Model evaluation metrics

Sustainability claim verification

Logo detection model training

LLM-based verification workflows

Data labeling strategy

Stakeholder collaboration

Production-ready pipeline & deployment

Documentation/testing results

Job description

Insight Global is seeking a senior ML engineer to lead end-to-end ML initiatives in a vision-focused, multilingual context. You will drive problem definition, data strategy, model development, evaluation, and deployment in production or near-production environments.

You will build YOLO-based logo detectors, implement LLM workflows via GPT-4o, and ensure robust compliance, traceability, and production-ready delivery for sustainability claim verification.