Applied ML/GenAI Engineer

Post Date

Dec 05, 2025

Location

Chicago,
Illinois

ZIP/Postal Code

60606
US
Feb 13, 2026 Insight Global

Job Type

Contract

Category

Computer Engineering

Req #

CHI-b49b5372-b667-49d2-b292-db6e989af06e

Pay Rate

$14 - $17 (hourly estimate)

Job Description

Work with Python scripts to access and integrate GenAI capabilities.
Apply agentic AI approaches to automate and optimize workflows.
Handle day-to-day tasks such as:
Taking raw data and making repositories functional on that data.
Iterating through experiments, critiquing results, and proposing alternative approaches.
Scaling scope from small tasks to full project ownership.
Break down existing processes and identify opportunities for improvement.
Collaborate with stakeholders and communicate technical concepts clearly.

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/.

Required Skills & Experience

Required Skills
GenAI familiarity: Comfortable working with LLMs and related frameworks.
Python proficiency: Ability to write and adapt scripts for AI workflows.
ML fundamentals: Solid grounding in classic ML concepts to avoid common pitfalls.
Data handling: Strong experience with Pandas and managing substantial datasets.
Cloud experience: Familiarity with Azure is a plus.
Ability to run experiments, critique outcomes, and iterate effectively.

Nice to Have Skills & Experience

Experience with agentic AI frameworks.
Broader exposure to ML beyond LLMs.
Comfort with growing scope and taking ownership of projects.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.