Computer Vision AI Engineer

Insight Global

Chicago (IL)

On-site

USD 180,000 - 220,000

Full time

7 days ago
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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

Job Description
  • 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)
Skills and 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)
  • 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

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.

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