Job Details

Summary: The Quality Assurance Manager oversees full end-to-end testing for enterprise applications, data-driven systems, and AI-enabled solutions. This position leads a team of analysts and engineers, ensuring detailed test planning, execution, and defect resolution throughout the software lifecycle. The role requires deep expertise in QA methodologies, AI/ML testing practices, and cross-functional collaboration across engineering, product, and data teams.

KEY RESPONSIBILITIES:

• Lead, mentor, and grow a QA team with a focus on AI/ML testing.
• Build and execute test plans for AI models, data pipelines, and application features.
• Oversee manual and automated testing across multiple projects and integrated systems.
• Partner with engineering, product, and data science to define acceptance criteria and test strategies.
• Support deployments across Dev, QA, and Production environments.
• Maintain test environments, test data, and required infrastructure.
• Identify and mitigate quality risks, including AI-specific risks such as bias, data leakage, and adversarial threats.
• Track QA metrics (coverage, defect leakage, RAG status) and report to stakeholders.
• Drive continuous improvement in QA processes, automation, and tooling.
• Ensure compliance with ethical AI standards, data privacy requirements, and regulatory expectations.
• Collaborate with automation teams to enhance automated test suites.
• Support production validation and provide user support when needed.

SKILLS & EXPERIENCE:

• 5+ years of QA leadership experience within software, data, or AI/ML environments.
• Strong understanding of AI/ML testing concepts (model evaluation, fairness/bias, supervised/unsupervised learning).
• Hands-on experience with automation frameworks and scripting.
• Advanced SQL skills and comfort validating data workflows.
• Proficiency with QA methodologies, SDLC processes, and MLOps practices.
• Experience coordinating offshore/nearshore development or testing teams.
• Excellent communication, documentation, and stakeholder engagement skills.
• Highly organized, detail-oriented, and effective in fast-paced environments.

TOOLS & TECHNOLOGIES:

• ALM/QA Tools: Azure DevOps, TFS, MTM, HPQC or similar
• Automation: Selenium, UiPath, comparable frameworks
• ML/AI Testing: MLflow, TFX, PyCaret, pytest
• Cloud/Automation: Azure AI services, Power Automate
• Collaboration: SharePoint
• General: MS Office Suite

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Nesco Resource offers a comprehensive benefits package for our associates, which includes a MEC (Minimum Essential Coverage) plan that encompasses Medical, Vision, Dental, 401K, and EAP (Employee Assistance Program) services.

Nesco Resource provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.