Job Description

As an AIML-QA Engineer, you will be at the forefront of testing and optimizing Generative AI technologies. Collaborating with a multidisciplinary team of data scientists, software developers, and designers, you will rigorously evaluate systems that leverage advanced machine learning models and AI algorithms. Your expertise will play a pivotal role in delivering seamless, human-centric AI experiences that delight and engage users.

Key Responsibilities

• QA Leadership: Design and implement robust testing frameworks tailored to Generative AI systems, ensuring scalability and efficiency.
• System Testing: Conduct end-to-end testing of AI/ML pipelines, verifying model accuracy, API integrations, and system performance.
• Data Validation: Validate training datasets and assess outputs for fairness, bias, and alignment with business objectives.
• Automation Focus: Develop automated testing solutions to streamline processes and improve release cycles.
• Cross-Functional Collaboration: Work closely with development and product teams to identify issues, debug failures, and recommend solutions.
• User-Centric Insights: Test AI systems with a focus on real-world user behavior and provide actionable feedback to enhance the experience.