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AI QA​/Testing Engineer

Job in South Plainfield, Middlesex County, New Jersey, 07080, USA
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
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Skill Set

Model Validation, Bias/Fairness Testing, Automation

Role Overview

Ensure 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
Requirements
  • 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)
Preferred
  • 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
Seniority Level

Entry level

Employment Type

Full-time

Job Function

Quality Assurance

Industries

IT Services and IT Consulting

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