We are hiring a quality-focused AI Tester to design and execute validation frameworks for AI models and systems. Reporting to the AI Manager this role ensures that AI solutions meet accuracy performance reliability and ethical compliance benchmarks before production deployment.
Key Responsibilities:
- Develop and execute test plans and cases for AI/ML models GenAI solutions and agent-based systems.
- Validate model outputs for accuracy precision recall latency and interpretability across diverse datasets.
- Conduct bias testing data drift analysis and adversarial robustness validation.
- Collaborate with AI developers data scientists and business analysts to define acceptance criteria.
- Automate testing pipelines and integrate with CI/CD environments where applicable.
- Maintain traceability matrices defect logs and model validation documentation.
Qualifications :
Required Qualifications:
- 35 years of experience in software testing or QA with at least 12 years in AI/ML or data-centric testing.
- Strong understanding of AI model evaluation metrics data sampling and validation techniques.
- Experience using testing frameworks (e.g. PyTest Great Expectations) and visualization tools.
- Familiarity with Python JSON and REST APIs.
- Bachelors degree in Computer Science Statistics or a related field.
Preferred Skills:
- Experience testing LLMs GenAI prompts or RAG workflows.
- Exposure to responsible AI frameworks and model audit practices.
- ISTQB or other QA certifications are a plus.
Remote Work :
No
Employment Type :
Full-time