Lead QA Engineer AI
Job Summary
We are seeking a skilledAI TestingSpecialist to join our team. The ideal candidate will have experience
intestingAI-based applications and systems with a strong understanding ofAI/ML concepts
andtestingmethodologies.
Responsibilities:
Collaborate with theAItestteam to plan and executetestplanstestcasesandtestscenarios
forAIsystems.
Develop execute maintain and enhance automatedtestframeworks andscriptsdedicated
toAIcomponenttesting.
Implement quality assurance standards to ensure the accuracy reliability andperformance
ofAIsolutions.
Design and implement benchmarking tests to evaluateAIsystem performanceagainst industry
standards and competitors.
Expand knowledge intestingdeep learning algorithms and model families.
Required Skills
Proficiency in Python and related packages for image processing dataprocessing and
automationtesting.
Familiarity with machine/deep learning frameworks like TensorFlow Keras orPyTorch.
Understanding of Software Development Life Cycle (SDLC) and SoftwareTestingLife Cycle
(STLC) with a focus onAI-specifictestingphases andactivities.
Experience intestingAI-driven applications across diverse platforms.
Qualification:
Bachelors in Computer Science Data Science Machine Learning or related fields.
1-3 years of experience inAI testing deep learning or quality assurance.
Preferred Qualifications:
Proficiency in machine learning pipelines and Continuous Integration/Continuous Deployment
(CI/CD) pipelines tailored forAIdevelopment andtestingworkflows.
Knowledge of advanced image processing algorithms.
Experience with cloud computing platforms such as AWS or Azure particularly in the context
oftestingAIsolutions in cloud environments.
Strong statistical analysis skills to evaluate model performance validate results and identify
potential issues duringAI testing.
Required Experience:
IC
Key Skills
About Company
At Virtusa, we are builders, makers, and doers. Digital engineering is in our DNA. It’s at the heart of everything we do.