Posted:-1 days ago|
Platform:
Work from Office
Full Time
Define test strategies for complex AI-integrated systems and data platforms
Risk-based testing, observability, and traceability of model decisions
Strong understanding of data quality, data validation, and synthetic test data generation
Hands-on with tools for test data management and data anomaly detection
Load and stress testing for AI APIs and pipelines
Familiarity with security aspects in AI systems (model poisoning, adversarial inputs)
Work with Data Scientists, MLOps, DevOps, and Product teams
Ability to translate complex AI requirements into testable use cases
Mentor junior SDETs and QA engineers on AI testing practices
Drive innovation and adoption of AI-first testing methodologies within the CoE
Critical thinking for edge-case analysis, root cause detection, and continuous improvement
Exposure to LLM testing (e.g., hallucination detection, prompt validation)
Experience with tools like LangChain, OpenAI APIs, or vector databases
Certification in AI/ML (Coursera, edX, AWS AI Practitioner, etc.
Zuci Systems India
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