Duties and Responsibilities:
• Develop and implement comprehensive testing strategies for AI models and systems.
• Design and execute test cases to evaluate the accuracy, performance, and reliability of AI models.
• Automate testing processes to streamline quality assurance workflows and improve efficiency.
• Collaborate with data scientists, AI researchers, and software engineers to understand model functionality and identify testing requirements.
• Monitor and analyze test results, identify defects and issues, and work with the development team to resolve them.
• Conduct performance testing to ensure AI models operate efficiently under various conditions and workloads.
• Stay updated with the latest advancements in AI and testing methodologies to continuously improve testing practices.
• Provide detailed documentation of testing processes, methodologies, and results.
• Ensure compliance with industry standards and best practices for AI quality assurance. Qualifications Required:
• 6-8 years’ proven experience as a Quality Engineer.
• Hands on experience testing AI based applications
• Strong SQL or any other RDBMS skills
• Proficiency in programming languages such as Python, C#, or similar
• Experience with applications hosted in public cloud like AWS, Azure etc.
• Excellent analytical and business and technical problem-solving skills.
• Attention to detail and ability to work with large datasets.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Continuous learning mindset and willingness to adapt to new technologies and techniques.
• Excellent problem-solving skills.