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Quality Assurance and Machine Learning Developer
3 weeks ago
At Workday Peakon, our mission is to transform the way people work by harnessing the power of artificial intelligence. We believe that a collaborative culture is essential for success in business, which is why we put our people first.
Our team is passionate about developing groundbreaking AI-driven products that support a customer base of 60 million users. We're looking for a highly skilled Machine Learning QA Engineer to join our team and contribute to the growth and continuous improvement of quality and testing processes within the organization.
The Machine Learning & Data organization at Workday Peakon is bringing 'AI first' products to life at every step of the Workday Peakon Employee Voice product offering. As a member of our team, you'll have the opportunity to develop the next generation of Workday's collaborative products.
We thrive in a fun, people-first culture that builds an environment focused on your success and ability to do your best work. If you're incredibly motivated by AI and QA, and how to bring it closer together, this is a great opportunity to make a difference.
About the Role- 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.
- Support 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.
- Work 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.
Basic Qualifications:
- Strong 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 LLMs.
- Experience in AI/ML System Design and the life cycle 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.
Our Benefits Package
We offer a comprehensive benefits package that includes flexible work arrangements, opportunities for professional growth and development, and a collaborative culture that supports your success.
We also offer a competitive compensation package, including salary, bonuses, and stock options.
