Qa specialist • charlotte nc
Primary Skill: Test AI applications, RAG systems, agents, APIs and Data Pipeline using automated development framework</div> <div>Experience: Minimum 8 years</div> <div> &l... Show more
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QA Analyst</p> <p style="margin-bottom:13px">Location: Charlotte, NC</p> <p style="margin-bottom:13px">Duration: Contract</p> <p style="mar... Show more
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QA Engineer</strong></p> <p><strong>Charlotte, NC</strong></p> <p><strong>6 Months Contract</strong></p> <p> </p> <p&... Show more
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Start or transition your career into Software Quality Assurance.Ace IT Careers is currently identifying candidates for.QA Software Tester opportunities with employers and staffing partners across t... Show more
Role: QA Automation Engineer</b></p> <p><b>Location: Charlotte, NC - Onsite </b></p> <p> </p> <p>We are looking for an experienced and driven... Show more
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Regulatory Reporting QA Associate.SMBC Group is a top-tier global financial group.Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, includ... Show more
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The average salary range is between $ 50,651 and $ 110,240 year , with the average salary hovering around $ 91,650 year .
The average salary range is between $ 48,789 and $ 104,728 year , with the average salary hovering around $ 69,728 year .
Primary Skill: Test AI applications, RAG systems, agents, APIs and Data Pipeline using automated development framework
Experience: Minimum 8 years
Roles & Responsibilities
Bachelor's or master's degree in computer science or related field.
Key Responsibilities
Lead Strategy: Design end-to-end test plans for generative AI, LLMs, and machine learning models.
Model Validation: Test models for accuracy, drift, latency, robustness, and security vulnerabilities.
Automation: Build advanced test automation frameworks using Python, PyTest, and specialized AI testing tools.
Data Quality: Validate training, validation, and test datasets for bias, leakage, and data integrity.
Performance Testing: Evaluate system scalability and response times under heavy concurrent loads.
Team Leadership: Mentor junior engineers and collaborate with data scientists and software developers.
Certifications in Automation
