Bachelor’s degree in computer science, engineering, mathematics, or a related field; advanced degree preferred.
Proven experience in quality assurance/testing roles with a focus on AI/ML systems.
Strong understanding of machine learning algorithms, data structures, and statistical analysis techniques.
Proficiency in programming languages such as Python, R, or Java, with experience in testing frameworks and libraries.
Familiarity with AI/ML development frameworks and cloud-based ML services
Solid grasp of software testing principles, methodologies, and
Excellent analytical skills with the ability to identify patterns, anomalies, and potential areas of improvement
Effective communication and collaboration skills, with the ability to work across diverse teams and stakeholders.
Strong problem-solving abilities and a proactive approach to addressing technical challenges.
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