Job Description
About the Role
As a Machine Learning Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models. You will develop and deploy new products at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers. In addition to contributing to feature and service development, you must approach continuous improvement, prioritize quality, scale and security, and maintain a product mindset to drive better customer experience. Ownership and teamwork are essential in this role. Responsibilities
Build and deploy machine learning models at scale. Develop services for hosting models in production. Work with large language mod...
As a Machine Learning Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models. You will develop and deploy new products at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers. In addition to contributing to feature and service development, you must approach continuous improvement, prioritize quality, scale and security, and maintain a product mindset to drive better customer experience. Ownership and teamwork are essential in this role. Responsibilities
Build and deploy machine learning models at scale. Develop services for hosting models in production. Work with large language mod...
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