GEN AI testing Engineer

Job Requirements

AI Testing Specialist

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.
• Preferred Qualifications:
• 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.

Work Experience

5-7Years