As a Tester AI Application Development at Emerson, you will be responsible for ensuring the quality and reliability of AI-driven applications by testing, verifying, and validating the software through automated and manual testing methods. You will work closely with data scientists, software engineers, and other collaborators to improve the performance and usability of AI applications.
In this Role, Your Responsibilities Will Be:
Design and implement detailed test plans and test cases for AI-based applications to ensure the functionality, performance, and security meet the standards and requirements
Conduct rigorous tests on AI-based applications, including generative models, AI Assistant/AI agent platforms, and machine learning algorithms, to assess their effectiveness, accuracy, and usability
Identify, document, and report defects, bugs, and AI behavior anomalies. Test for AIs response consistency, context understanding, and the ability to generate relevant outputs; collaborating with the development team to resolve issues
Develop and implement automated test scripts for AI models, ensuring scalability and efficiency in testing
Work with data engineers, data scientists, and development teams to prepare test data for training, validation, and testing of AI models
Conduct functional testing, regression testing, load testing, and performance testing for AI-powered applications; ensuring no regression issues or performance drops after model retraining or new version releases
Assist in training and fine-tuning AI models based on real-world user feedback and test results. Provide validation to ensure ethical AI standards are met
Identify, document, and report defects found during the testing phases, collaborating with the development team to resolve issues
Analyze and validate the performance of machine learning models and AI outputs critically, identify biases, edge cases through testing and ensure that the application meets the encouraged accuracy, precision, and other performance metrics
Contribute to improving the overall QA processes and testing frameworks used for AI development
Maintain detailed documentation of test procedures, test cases, and testing results for accountability and repeatability.
Perform exploratory testing to uncover potential issues with AI application features and functionality
Who You Are:
Cross-functional teammate
Detailed, organized, flexible, and proactive teammate
Willing to accept feedback and implement changes quickly and with a positive attitude
Comfortable working in an Agile development environment
For This Role, You Will Need:
Bachelor’s degree and 2+ years of relevant experience or a master’s degree and 1+ year of relevant experience
Strong knowledge of AI technologies, machine learning frameworks, and NLP, RAG, OCR
Outstanding English writing and verbal communication skills
Ability to develop product understanding by working closely with product developers in an Agile development environment
Ability to design and organize document structure
Curiosity about hands-on installation, configuration and use of the software to further develop product understanding
Understanding of accepted technical writing style conventions
Experience in writing technical documents
Ability to work collaboratively as part of a team
Self-motivated and able to work independently
Ability to simultaneously handle multiple projects and monitor their progress with minimal direction
Excellent time management skills and ability to meet deadlines
Strong research skills
Preferred Qualifications That Set You Apart
Bachelors Degree in Computer Science, Engineering, or a related field.
3+ Years experience in Quality Assurance testing for AI-based applications, machine learning models, generative AI models or software development
Knowledge of ethical AI principles and bias detection in AI models
Proficiency with automated testing tools e.g., Selenium; AI tools and platforms (such as TensorFlow, PyTorch, OpenAI, GPT, Copilot etc.)
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