AI QA/Testing Engineer
Job in
South Plainfield, Middlesex County, New Jersey, 07080, USA
Listed on 2025-11-20
Listing for:
Pozent Corporation
Full Time
position Listed on 2025-11-20
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
Skill Set
Model Validation, Bias/Fairness Testing, Automation
Role OverviewEnsure quality, fairness, and reliability of AI/ML models through comprehensive testing, validation, and automation. Focus on model performance, bias detection, and ethical AI practices.
Responsibilities- Design and execute test strategies for AI/ML models and systems
- Perform model validation including accuracy, robustness, and performance testing
- Conduct bias and fairness testing to identify and mitigate discriminatory outcomes
- Develop automated testing frameworks for continuous model evaluation
- Test data pipelines, feature engineering, and model inference systems
- Create test cases for edge cases, adversarial inputs, and model behavior analysis
- Monitor model drift and performance degradation in production
- Collaborate with ML engineers and data scientists to ensure model quality standards
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
- Strong experience in model validation and ML testing methodologies
- Proven expertise in bias and fairness testing for AI systems
- Hands‑on experience with test automation frameworks and tools
- Understanding of ML model evaluation metrics and statistical testing
- Proficiency in Python and testing libraries (pytest, unittest)
- Knowledge of AI ethics, responsible AI principles, and regulatory requirements
- Experience with CI/CD pipelines and version control (Git)
- Experience testing various ML models (LLMs, computer vision, NLP, recommender systems)
- Familiarity with fairness metrics (demographic parity, equalized odds, disparate impact)
- Knowledge of adversarial testing and model robustness evaluation
- Experience with A/B testing and experimental design
- Understanding of data quality testing and validation
- Familiarity with ML frameworks (PyTorch, Tensor Flow, scikit-learn)
- Experience with monitoring tools (MLflow, Weights & Biases, Evidently AI)
- Knowledge of GDPR, AI Act, or other AI governance frameworks
Entry level
Employment TypeFull-time
Job FunctionQuality Assurance
IndustriesIT Services and IT Consulting
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