Key responsibilities Chatbot Enablement: • Oversee the deployment and optimization of chatbot systems. • Refine chatbot outputs by improving the underlying knowledge management system and ensuring accuracy and relevance. Collaboration: • Work with platform teams to provide feedback on model improvements. • Collaborate with developers and data scientists to refine algorithms • Partner with business teams to understand their needs and tailor chatbot solutions accordingly. Knowledge management: • Collaborate with knowledge management specialists to maintain and update the chatbot's knowledge base. • Ensure that the chatbot understands context and provides meaningful responses. Data quality assurance: • Preprocess test data and verify the integrity of training data. • Identify issues related to data bias or insufficiency Developing testing strategies: • Design and implement robust testing strategies • Create automated test suites for AI/ML pipelines and APIs Testing Generative AI Systems: • Validate outputs for accuracy, consistency, and fairness. • Conduct functionality, performance, load, and stress testing • Ensure compliance with ethical standards by identifying biases Documentation and reporting: • Document test cases, procedures, and results. • Analyse trends in validation data to identify areas for improvement Training and feedback: • Conduct training sessions for business users to maximize chatbot adoption. • Gather feedback from users and stakeholders to inform ongoing improvements. Monitoring and reporting: • Monitor chatbot performance metrics (e.g., response accuracy, user satisfaction). • Provide regular reports to stakeholders on system effectiveness and areas for enhancement. Skills required Soft Skills: • Strong communication skills for cross-team collaboration. • Critical thinking to anticipate potential risks in AI models and knowledge management systems. • Analytical mindset to refine outputs based on feedback and performance data. • Ability to interpret complex data and identify trends. Technical Skills: • Proficiency in AI, programming languages such as Python or Java. • Experience with testing frameworks like PyTest. • Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) and LLMs (e.g., GPT 35). • Understanding of CI/CD pipelines and tools Azure DevOps Qualifications • Bachelor’s degree in computer science, software engineering, or a related field. • 2–3+ years of experience in QA engineering or validation roles focused on AI/ML systems. • Knowledge of ethical AI principles and regulatory compliance standards.

• Chatbot项目经验 • 英语流利沟通 • 关键词还是AI chatbot（智能客服，机器人客服）项目经验和英语口语