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QA Automation AI/ML Engineer
- Insight Global (Deerfield, IL)
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Job Description
Define and execute test strategies for AI/ML applications
Build and maintain test plans, test cases, and automation frameworks
Design and implement generative AI solutions for QA automation
Collaborate with engineering and product teams on quality metrics and strategies
Integrate testing into CI/CD pipelines
Communicate test results clearly to developers and leadership
Debug complex QA and AI/ML-related issues
Mentor QA, software, and ML engineers on best practices
May oversee or perform hands-on validation depending on project needs
Ensure compliance with security and team best practices
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .
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
Bachelors degree and 4+ years of experience in machine learning, software engineering, or data engineering
3+ years of experience with SQL
3+ years of programming experience in Python, C, C++, Spark, Scala, and/or Java
Experience working cross-functionally within a matrix organization
Strong problem-solving and issue resolution skills
2+ years of experience contributing to financial decisions
2+ years of leadership experience (direct, indirect, or cross-functional)
Willingness to travel up to 10% for business purposes
Strong understanding of software quality assurance (SQA) methodologies
Experience with:
AI/ML test strategy, planning, and execution
Functional, performance, and exploratory testing
Test automation frameworks using Python and AI-driven technologies
Generative AI for test automation, smart test selection, and failure diagnosis
ML model deployment at scale (e.g., Kubeflow, Seldon) DAG-based orchestration (Airflow, Prefect)
Data pipelines (Apache Spark, Databricks)
ML registries (MLFlow)
CI/CD pipelines (Tekton, Azure DevOps, GitHub Actions)
Kubernetes in multi-tenant environments
Debugging distributed systems and optimizing performance/cos null
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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. 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 [email protected].
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