QA with Gen AI

Role Objectives:

Test & Validate the functionality and accuracy of AI-generated outputs

Expectations:

Working closely with the development team to design test cases, execute test scenarios, and identify potential data-related issues in the AI models

Contribute to the enhancement of testing processes and collaborate with cross-functional teams to ensure the overall quality and reliability of GenAI products

Strong analytical skills, attention to detail, and a keen understanding of data quality standards

Responsibility:

Develop and execute test plans for evaluating the functional performance of GenAI models

Analyse AI-generated outputs to identify discrepancies, inaccuracies, or unexpected behaviour.

Collaborate with SMEs and engineers to reproduce and debug identified issues.

Document and communicate test results,

Skills:

Experience in software testing and Test Automation, with a focus on data validation

Familiarity with data quality standards and best practices

Experience with ML, deep learning, TensorFlow, Python, NLP

Experience in applying AI to practical and comprehensive technology solutions

Knowledge of programming languages and scripting on any one automation tool

Experience in REST API development, NoSQL database design, and RDBMS design and optimizations

Strong analytical and problem-solving skills

Excellent communication and collaboration abilities

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.