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QA Testing Test Analyst, AI TESTING

Exclusive opportunity

Onsite

QA Testing Test Analyst, AI TESTING

Virtusa

QA Testing Test Analyst, AI TESTING

Skills

Deep LearningPythonData ScienceTesting & QAKerasPyTorchTensorFlowMachine LearningAIAWSAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

21 August 2026

What they need


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 such as TensorFlow, Keras, or PyTorch.
  • Understanding of the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC), with a focus on AI-specific testing activities.
  • Experience in testing AI-driven applications across diverse platforms.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field.
  • 1-3 years of experience in AI testing, deep learning, or quality assurance.

Preferred Qualifications

  • Proficiency in machine learning pipelines and 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 for testing AI solutions in cloud environments.
  • Strong statistical analysis skills to evaluate model performance, validate results, and identify potential issues during AI testing.

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