Senior AI/ML Quality Assurance and Test Automation Specialist
7 days ago
About the Role
We are seeking a highly skilled Senior Machine Learning Quality Assurance and Test Automation Engineer to lead the implementation of a holistic test strategy for data and model evaluation as well as the fundamental ML pipeline testing and monitoring.
The ideal candidate will have strong experience in Quality Assurance and Test Automation with a strong focus on AI/ML, understanding of QA methodologies, tools, and processes, and strong experience in statistical analysis or machine learning algorithms, natural language processing, LLMs.
Key Responsibilities:
- Lead the implementation of a holistic 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 so that it is highly stable, discovers issues and requires low maintenance
- Supporting ML Engineers in Model Evaluation (e.g. Error Analysis), Data Quality Validation, Data Annotation and Model Monitoring to ensure a high quality of AI driven products
- Working 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
We are looking for a highly skilled and experienced professional with a strong background in Quality Assurance and Test Automation, AI/ML, and software development. The ideal candidate will have:
- Strong Experience in Quality Assurance and Test Automation with strong focus on AI/ML
- Understanding of QA methodologies, tools, and processes
- Strong experience at least in statistical analysis or machine learning algorithms, natural language processing, LLMs
- Experience in AI/ML System Design and Life cycle of ML Models
Additional Requirements:
- Hands on experience with test automation and tools such as Pytest, Giskard, 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
We offer a dynamic and challenging work environment with opportunities for growth and professional development. If you are a motivated and experienced professional looking for a new challenge, please submit your application.
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