Machine Learning Engineer
Core
Develop tailored user experiences using advanced Agentic AI, LLMs, and RAG to deliver critical AI platform capabilities and deep-value agent applications for Workday's product ecosystem.
Role type
Senior Machine Learning Engineer (Agentic AI & LLMs)
Builds
Cloud-based machine learning architectures, ML pipelines, inference services, and APIs/services for HR and Finance text data analysis.
Domain
Enterprise AI, Human Resources, Finance, Large Language Models, Agentic Systems
Deliverable
production ML models
Required skills
Python, LLMs, RAG, Kubernetes, Docker, PySpark, Pandas, Cloud platforms (AWS/GCP), Statistical analysis, Supervised/Unsupervised learning, NLP, Information retrieval
Preferred skills
PyTorch, TensorFlow, Sklearn, Deep learning frameworks, Orchestration frameworks
Technologies
Docker, Kubernetes, AWS, GCP, PySpark, Pandas, PyTorch, TensorFlow, Sklearn
Responsibilities
Own exploration, design, and implementation of features for ML platforms and services; Evaluate, ensure scalability, and maintain observability of ML features; Apply ML techniques to analyze large sets of HR and Finance text data; Develop and deploy new APIs/services at scale.
Seniority
Senior, hands-on IC