AI / ML Engineer

Insight Global

Chicago (IL)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

Insight Global is seeking a hands-on AI/ML Engineer in Chicago, IL to build and deploy machine learning solutions for extracting structured data from complex documents. With a focus on performance and scalability, the ideal candidate will have a strong background in taking ML models from concept to production.

You will collaborate with global teams and require skills in Python, AWS, and experience with a variety of ML tools and techniques. A commitment to diversity and inclusion is central to our hiring practices.

Qualifications

  • 5+ years of experience in Machine Learning Engineering.
  • Strong proficiency in Python and its ML/data libraries.
  • Experience with deploying ML models into production.

Responsibilities

  • Build and deploy production-grade machine learning solutions.
  • Work across global teams to scale intelligent document processing.
  • Focus on performance, scalability, and data quality.

Skills

Machine Learning Engineering
Python
SQL
AWS
Document Intelligence
Multimodal Machine Learning

Tools

SageMaker
Textract
OpenCV

Job description

Job Description

We’re looking for a hands‑on AI/ML Engineer to build and deploy production‑grade machine learning solutions focused on extracting structured data from large, complex documents (e.g., multi‑thousand‑page PDFs).

This role will work across global teams (US, EU, India) and play a key part in scaling intelligent document processing using Python, AWS, and GenAI. The ideal candidate has strong experience taking ML models from concept to production and can operate confidently across the full ML pipeline with a focus on performance, scalability, and data quality.

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 opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their 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 recruiting process, please send a request to HR@insightglobal.com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements
  • 5+ years of experience in Machine Learning Engineering
  • Strong proficiency in Python (including ML/data libraries)
  • Solid experience with SQL and data modeling
  • Proven experience deploying ML models into production environments
  • Hands‑on experience building end‑to‑end ML pipelines
  • Experience with GenAI applications, including:
  • Prompt engineering
  • Model selection and evaluation
  • Deployment and monitoring
  • Experience with AWS for ML systems (e.g., SageMaker, Lambda, Step Functions)
  • Strong understanding of scalability and cost optimization in cloud environments
  • Ability to clearly articulate past projects and technical decisions
  • Self‑starter mindset with ability to work autonomously in a highly hands‑on (~80% technical) role
  • Experience with multimodal ML (text + image processing)
  • Experience with document intelligence / OCR tools (Textract, Azure Document Intelligence, etc.)
  • Familiarity with RAG, transformers, or large language models (LLMs)
  • Experience processing large PDFs and image‑based data (e.g., PyMuPDF, OpenCV, Pillow)
  • Background in document classification, segmentation, or extraction systems
  • Experience with evaluation frameworks, experimentation, or hypothesis testing
  • Exposure to big data tools on AWS (S3, Redshift, EMR, Glue)
  • Domain experience in insurance or healthcare
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