Posted:10 hours ago|
Platform:
Hybrid
Full Time
"AI QA Engineer
Designing and executing test strategies for AI models including functional performance and edgecase testing
Validating AI outputs for accuracy fairness bias and hallucination risks
Automating test case generation and execution using GenAIpowered platforms like LTIM FUSIONiQ and GenAPT1
Collaborating with data scientists and ML engineers to ensure model reliability and compliance with AI governance standards
Implementing feedback loops and continuous testing pipelines to support evolving AI systems
Ensuring traceability and version control for AI artifacts and SOPs especially in regulated environments like Chobanis AI deployment4
Technical Skills
Python PyTest JMeter Selenium
ML frameworks TensorFlow PyTorch
GenAI tools LangChain Copilot Studio Azure AI Foundry
Data validation ETL pipelines synthetic data generation masking
Experience
3 - 7 years in QA with at least 2 years in AIML testing
Familiarity with nondeterministic systems and edgecase testing
Exposure to AI governance frameworks eg ISO 4200120235
Soft Skills
Analytical mindset and attention to detail
Strong communication and documentation skills
Ability to work in agile and hybrid team environments"
Ltimindtree
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