Why this role stands out
This hybrid role offers a fantastic opportunity to grow your expertise in cutting-edge AI and data governance, working with a reputable company to ensure the integrity of advanced systems. You'll thrive here if you have strong Python automation skills and a passion for testing GenAI and complex data pipelines, making it an ideal next step for ambitious mid-senior testers. Apply today to contribute to innovative technology and advance your career!
Quick overview
Job description
Job Summary
We need a Senior QA Automation Engineer to test our artificial intelligence and data systems. You will build test frameworks using Python to check AI models and data pipelines. You will also make sure our data handling follows strict data governance rules.
Key Responsibilities
- Write and maintain automation test scripts using Python.
Test Generative AI (GenAI) applications, Large Language Models (LLM), and RAG pipelines for accuracy and safety. - Validate data quality, lineage, and integrity across complex data pipelines.
- Ensure all testing processes comply with Data Governance, privacy, and security standards.
- Create automated test frameworks for API and database validation.
- Find, log, and track bugs using tracking tools like Jira.
Work with data engineers and product teams to define acceptance criteria for AI features.
Requirements
- 5 to 8 years of experience in software quality assurance and test automation.
- Strong programming skills in Python (Pytest, Unittest, or similar frameworks).
- Hands-on experience testing GenAI, LLMs, or machine learning models.
- Knowledge of Data Governance concepts, data privacy laws (GDPR/CCPA), and data quality metrics.
- Experience with SQL and testing databases or data lakes.
- Experience testing REST APIs and cloud platforms (AWS, Azure, or Google Cloud Platform).
- Good communication and problem-solving skills.
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