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AI Test Engineer
Prisma Global
posted 21d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Collaborate with the AI test team to plan and execute test plans, test cases, and test scenarios specifically tailored for AI systems.
- Implement quality assurance standards within the context of AI testing to ensure the accuracy, reliability, and performance of AI solutions.
Design and implement benchmarking tests to evaluate the performance of AI systems against industry standards and competitors.
- Develop, execute, maintain, and enhance Automated Test Frameworks and Scripts dedicated to testing AI components, leveraging relevant AI tools and Deep learning frameworks.
- Accurately report and track defects and issues related to AI testing, including writing detailed benchmarking /bugs reports and verifying fixes in collaboration with the development team.
- Analyse benchmarking results to identify strengths, weaknesses, and areas for improvement in AI algorithms and models.
- Expand knowledge in testing deep learning algorithms and model families.
Skills:
- Proficiency in Python and related packages for image processing and 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.
- Understanding on testing AI-driven applications across diverse platforms.
- Experience in API Testing using tools like Postman, essential for testing AI-driven APIs.
- Knowledge of tools like Neptune, Kolena, Weights and Biases, Pytorch ignite, TensorFlow Model Analysis TFMA, Deepdetect
Preferred Skill:
- 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 or on premises server, 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.
Qualification:
- Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or related fields.
- 2 years of experience in computer vision and/or deep learning or AI testing or Quality assurance.
- ISTQB certified Tester
- ISTQB Certified AI Tester
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
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