Key Responsibilities:
- Apply knowledge of Quality Engineering and testing areas (Automation, Performance, Data quality, AI, While box, Blackbox) to define and advise in test planning
- Drive high-quality delivery by performing both manual and automated testing, ensuring full coverage across functional, system, data, and AI components.
- Assist or Lead the design and implementation of comprehensive test strategies, quality processes, and documentation for assigned project.
- Maintain accurate record results, test cases, and share feedback to the project team
- Ensure all QE deliverables meet quality standards, aligning with project objectives and organizational best practices.
- Actively assist or lead defect triage process
- Develop and validate test data, data pipelines, and infrastructure from both functional and system perspectives.
- Evaluate and test machine learning models, including LLM behavior, prompt robustness, model outputs, and performance metrics.
- Mentor junior team members, promote QE best practices, and contribute to continuous improvement initiatives across the Quality engineering practice.
Qualifications:
- Bachelor’s degree in computer science, or a closely related discipline.
- Solid experience in QA methodologies, test planning, automation, and quality engineering practices.
- Strong proficiency in automation tools such as Playwright (highly preferred), Selenium, or equivalent frameworks.
- Solid programming skills in Python (highly preferred), C#, Java, or similar languages.
- Hands-on experience testing data pipelines, ETL workflows, and analytics platforms (Databricks, Fabric preferred).
- Understanding of machine learning principles, model evaluation metrics and AI system behavior
- Extensive experience on Load and Performance Testing (has used JMeter and other equivalent tools)
- Ability to test LLM behavior, prompts, and AI model outputs.
- Ability to execute comprehensive test plans for AI models and systems.
- Excellent analytical, problem-solving, communication, and presentation skills.
- Demonstrated ability to work cross-functionally and influence engineering teams.
- Passion for innovation, continuous learning, and staying current with emerging QE and AI technologies.
- Relevant certifications (Azure, Microsoft, Agile, etc.) are a plus.
- Experience with cloud platforms, especially Azure, is preferred
Additional Details:
- Work shift: 5PM - 2AM