Define and execute test strategies for AI/ML applicationsBuild and maintain test plans, test cases, and automation frameworksDesign and implement generative AI solutions for QA automationCollaborate with engineering and product teams on quality metrics and strategiesIntegrate testing into CI/CD pipelinesCommunicate test results clearly to developers and leadershipDebug complex QA and AI/ML-related issuesMentor QA, software, and ML engineers on best practicesMay oversee or perform hands-on validation depending on project needsEnsure compliance with security and team best practicesWe 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 . The EEOC "Know Your Rights" Poster is available here . 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 & ExperienceBachelors degree and 4+ years of experience in machine learning, software engineering, or data engineering3+ years of experience with SQL3+ years of programming experience in Python, C, C++, Spark, Scala, and/or JavaExperience working cross-functionally within a matrix organizationStrong problem-solving and issue resolution skills2+ years of experience contributing to financial decisions2+ years of leadership experience (direct, indirect, or cross-functional)Willingness to travel up to 10% for business purposesStrong understanding of software quality assurance (SQA) methodologiesExperience with:AI/ML test strategy, planning, and executionFunctional, performance, and exploratory testingTest automation frameworks using Python and AI-driven technologiesGenerative AI for test automation, smart test selection, and failure diagnosisML model deployment at scale (e.g., Kubeflow, Seldon) Nice to Have Skills & ExperienceDAG-based orchestration (Airflow, Prefect)Data pipelines (Apache Spark, Databricks)ML registries (MLFlow)CI/CD pipelines (Tekton, Azure DevOps, GitHub Actions)Kubernetes in multi-tenant environmentsDebugging distributed systems and optimizing performance/cos Benefit packages for this role will start on the 31st 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.