Tech Stack

Description

You will lead a team of AI QA Engineers to ensure the quality and reliability of AI and machine learning solutions, particularly time-series forecasting models, by defining QA strategy, developing automated test frameworks, and collaborating with cross-functional teams.

Requirements

• Extensive experience in automating QA systems with strong Python proficiency
• Proven experience leading or mentoring a QA team
• Deep understanding of ML concepts and testing ML models, especially time-series forecasting
• Expertise with pytest and BDD (Gherkin)
• In-depth knowledge of API testing and LLM APIs

Responsibilities

• Lead, mentor, and grow a team of AI QA Engineers
• Define and drive QA strategy for AI/ML models, focusing on time-series forecasting
• Design, develop, and maintain automated test frameworks
• Champion BDD frameworks (Gherkin) for clear tests
• Drive improvements to CI/CD pipeline for continuous testing