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Lead Software Engineer

Lead Software Engineer

Virtusa
1-3 Years
Not Disclosed
Early Applicant
  • Posted 9 hours ago
  • Be among the first 10 applicants

Job Description

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.

More Info

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Key Skills

Software Testing Life Cycle (STLC)

Software Development Life Cycle (SDLC)

machine learning pipelines

advanced image processing algorithms

About Company

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