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AI Tester

  • Full Time, onsite
  • Verinon Technology Solutions Sdn Bhd
  • Kuala Lumpur, Malaysia
RM 9,000 - RM 13,000 / month

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Gen AI Tester / Product Efficiency Engineer

Job Description

Grade: Sr. Executive

Years of Work Experience: 5-8

Job Brief

The Generative AI Tester will be responsible for developing, implementing, and executing testing strategies for our generative AI applications. This role involves working closely with AI engineers, data scientists, and software developers to validate models, ensure data integrity, and maintain high-quality standards throughout the development lifecycle

Key Responsibilities

  • Develop and execute comprehensive test plans and test cases for generative AI models and applications.
  • Perform automated and manual testing to validate the functionality, performance, and reliability of AI models.
  • Collaborate with AI engineers and data scientists to understand model architectures, data flows, and identify potential issues.
  • Design and implement test scripts using appropriate testing frameworks and tools.
  • Conduct data validation and verification to ensure data quality and consistency.
  • Identify, document, and track bugs, issues, and discrepancies using bug tracking tools.
  • Perform regression testing to ensure new features and updates do not negatively impact existing functionalities.
  • Work with the DevOps team to integrate testing into the CI/CD pipeline for continuous testing and deployment.
  • Analyze test results, provide detailed reports, and work with the development team to resolve issues.
  • Stay updated with the latest advancements in AI testing methodologies and tools

Required Skills and Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Proven experience in testing AI/ML models and applications.
  • Strong understanding of AI/ML concepts, especially generative AI models.
  • Proficiency in programming languages such as Python.
  • Experience with automated testing frameworks (e.g., PyTest, JUnit).
  • Familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch).
  • Knowledge of data validation techniques and tools.
  • Experience with version control systems (e.g., Git).
  • Experience with performance testing and optimization of AI models.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
  • Understanding of MLOps practices and CI/CD pipelines.
  • Experience with bug tracking and project management tools (e.g., JIRA, Trello).
  • Knowledge of security testing practices for AI applications.

Job Type: Full-time

Pay: RM9,000.00 - RM13,000.00 per month

Benefits:

  • Opportunities for promotion
  • Professional development
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