Job Description
- 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:
- Bachelors 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
Job Description 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 ...
Job Description
- 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:
- Bachelors 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
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