Lead QA Engineer - AI
We are seeking a skilled AI Testing Specialist to join our team. The ideal candidate will have experience
in testing AI-based applications and systems, with a strong understanding of AI/ML concepts
and testing methodologies.
Responsibilities:
- Collaborate with the AI test team to plan and execute test plans, test cases, and test scenarios
for AI systems. - Develop, execute, maintain, and enhance automated test frameworks and scripts dedicated
to AI component testing. - Implement quality assurance standards to ensure the accuracy, reliability, and performance
of AI solutions. - Design and implement benchmarking tests to evaluate AI system performance against industry
standards and competitors. - Expand knowledge in testing deep learning algorithms and model families.
Required Skills:
- Proficiency in Python and related packages for image processing, data processing, and
automation testing. - Familiarity with machine/deep learning frameworks like TensorFlow, Keras, or PyTorch.
- Understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle
(STLC), with a focus on AI-specific testing phases and activities. - Experience in testing AI-driven applications across diverse platforms.
Qualification:
- Bachelor’s in Computer Science, Data Science, Machine Learning, or related fields.
- 1-3 years of experience in AI testing, deep learning, or quality assurance.
- Proficiency in machine learning pipelines and Continuous Integration/Continuous Deployment
(CI/CD) pipelines tailored for AI development and testing workflows. - Knowledge of advanced image processing algorithms.
- Experience with cloud computing platforms such as AWS or Azure, particularly in the context
of testing AI solutions in cloud environments. - Strong statistical analysis skills to evaluate model performance, validate results, and identify
potential issues during AI testing.