Senior Machine Learning Quality Assurance and Test Automation Specialist
7 days ago
About the Role
- Lead the implementation of a comprehensive test strategy for data and model evaluation, as well as the fundamental ML pipeline testing and monitoring.
- Implement best practices into the AI/ML development cycle to ensure high stability, issue detection, and low maintenance.
- Support ML Engineers in Model Evaluation (e.g. Error Analysis), Data Quality Validation, Data Annotation, and Model Monitoring to ensure high-quality AI-driven products.
- Collaborate closely with ML Engineers, MLOPs Engineers, and other QA engineers to ensure a common understanding and implementation of best practices.
- Contribute to the growth and continuous improvement of quality and testing processes within the organization.
About You
Basic Qualifications:
- Strong experience in Quality Assurance and Test Automation with a focus on AI/ML.
- Understanding of QA methodologies, tools, and processes.
- Strong experience in statistical analysis or machine learning algorithms, natural language processing, and Large Language Models.
- Experience in AI/ML System Design and the lifecycle of ML Models.
Other Qualifications:
- Hands-on experience with test automation and tools such as Pytest, Giskard, and Garak.
- Proficiency in SQL and Python.
- Experience in Red Teaming of LLM and ML Models.
- Experience in AI/ML Model performance validation, data quality/validation testing, model monitoring, and data pipeline.
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