Senior AI/ML Quality Assurance and Automation Engineering Lead
3 days ago
About this role:
- Develop and implement a comprehensive testing strategy for data and model evaluation, as well as the core ML pipeline testing and monitoring.
- Implement best practices into the AI/ML development cycle to ensure high stability, issue detection, and low maintenance requirements.
- Collaborate with ML Engineers in Model Evaluation (e.g. Error Analysis), Data Quality Validation, Data Annotation, and Model Monitoring to guarantee high-quality AI-driven products.
- Work closely with ML Engineers, MLOPs Engineers, and 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:
- Proven experience in Quality Assurance and Test Automation with a strong 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 (LLMs).
- Experience in AI/ML System Design and Life Cycle of ML Models.
Additional qualifications:
- Hands-on experience with test automation and tools such as Pytest, Giskard, and Garak.
- Proficiency in SQL and Python programming languages.
- Experience in Red Teaming of LLMs and ML Models.
- Experience in AI/ML Model performance validation, data quality/validation testing, model monitoring, and data pipeline management.
The estimated salary for this position is around 110,000-130,000 DKK per year, depending on location and experience.
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