Senior Machine Learning Quality Assurance and Test Automation Specialist
7 days ago
About the Role
We are seeking a highly skilled Machine Learning Quality Assurance and Test Automation Engineer to join our team at Workday Peakon. As a key member of our Machine Learning & Data organization, you will play a critical role in bringing "AI first" products to life at every step of our Workday Peakon Employee Voice product offering.
Key Responsibilities:
- Develop and implement 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 to ensure high stability, issue discovery, 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 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 motivated and experienced individual with a strong background in Quality Assurance and Test Automation, particularly in AI/ML. You should have a deep understanding of QA methodologies, tools, and processes, as well as experience in statistical analysis or machine learning algorithms, natural language processing, and LLMs.
Requirements:
- 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 LLMs.
- Experience in AI/ML System Design and the life cycle of ML Models.
Our Approach to Flexible Work
We offer a flexible work arrangement that combines the best of both worlds: in-person time and remote work. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role).
Work type: Full Time
Locations: Denmark, Copenhagen; United Kingdom, London
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