AI Quality Engineer
AI Quality Engineer
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Job Description
Job Title: AI Quality Engineer
Location : Frankfurt Germany (Hybrid)
Type: Permanent OR Contract
Must be fluent German and English Speaker
Key responsibilities:
1. Test Planning: Creating test plans and strategies for evaluating AI systems including defining test objectives selecting suitable testing methods and identifying test scenarios.
2. Test Execution: Performing various types of tests such as functional testing regression testing performance testing and usability testing to evaluate the behavior and performance of AI algorithms and models.
3. Defect Identification: Identifying and documenting defects irregularities or inconsistencies in AI systems and working closely with developers to rectify and resolve them.
4. Data Quality Assurance: Ensuring the quality consistency and relevance of data used for training and testing AI models which involves tasks like collecting cleaning preprocessing and validating data. Identifying and mitigating bias in datasets.
5. Test Data Generation: Generate synthetic data for variety data for edge cases and input fuzzing
6. Model Evaluation & Metrics: Understanding when to use which metric (Accuracy Precision Recall F1score) visualizing model performance (ROC Curves Confusion Matrices) diagnosing & addressing Overfitting/Underfitting.
7. Ethical and Bias Testing: Assessing AI systems for ethical considerations and potential biases to make sure they follow ethical standards and encourage inclusivity and diversity.
8. Test Automation: Develop and maintain automated test scripts and frameworks for efficient and effective testing.
9. Collaboration: Collaborating with diverse teams including developers data scientists and domain experts to understand requirements validate assumptions and align testing efforts with project goals.
10. Documentation and Reporting: Documenting test methods results and suggestions in clear and brief reports for stakeholders.
11. Drive continuous improvement and best practices in testing methodologies and processes for AI implementations.
Qualification requirement:
1. 7 years of experience in software testing with a focus on AI or machine learning applications.
2. Strong understanding of testing methodologies techniques and tools.
3. Experience in designing and executing test cases for complex software systems.
4. Proficiency in programming languages such as Python for test automation.
5. Fundamental knowledge of AI including ML deep learning NLP and computer vision.
6. Familiar with AIdriven testing tools and frameworks utilized for automating tests predictive analytics and generating intelligent test cases.
7. Specialize in particular areas of AI testing such as NLP testing computer vision testing or AIdriven test automation.
8. Proficiency in testing AIpowered applications and systems including chatbots recommendation engines and image recognition systems.
9. Strong communication and collaboration skills.
10. Transformation Experience in CRM domain is good to have
Employment Type
Full Time
