Job Description
About the Role
As a Senior Machine Learning Engineer on the AI Core team, you will be primarily responsible for designing, building, and applying machine learning models and agentic systems that power AI-driven applications at Workday. Specifically, you will: Responsibilities
Lead the design, development, and deployment of novel agentic systems and core machine learning models that power AI-driven capabilities. Execute data analysis, error analysis, and rigorous experimentation to drive model improvements and new capability development. Design and implement the end-to-end machine learning pipeline (MLOps), ensuring model scalability, reliability, and consumption via robust APIs. Work with large-scale datasets to perform data wrangling, feature engineering, and validation to train and fine-tune state-of-the-art models. Apply machine learning and distributed systems principles in production to address model scalability, concurrency, fault tolerance, and performance chal...
As a Senior Machine Learning Engineer on the AI Core team, you will be primarily responsible for designing, building, and applying machine learning models and agentic systems that power AI-driven applications at Workday. Specifically, you will: Responsibilities
Lead the design, development, and deployment of novel agentic systems and core machine learning models that power AI-driven capabilities. Execute data analysis, error analysis, and rigorous experimentation to drive model improvements and new capability development. Design and implement the end-to-end machine learning pipeline (MLOps), ensuring model scalability, reliability, and consumption via robust APIs. Work with large-scale datasets to perform data wrangling, feature engineering, and validation to train and fine-tune state-of-the-art models. Apply machine learning and distributed systems principles in production to address model scalability, concurrency, fault tolerance, and performance chal...
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