Senior Machine Learning Engineer
Core
Architecting and deploying scalable machine learning models and AI systems (including Generative AI and LLM-powered agents) to optimize HR and financial operations for global enterprises.
Role type
Senior Machine Learning Engineer (Applied AI/LLM)
Builds
Production-grade AI solutions, LLM-powered agents, and next-generation AI engine features for Workday's core platform.
Domain
Enterprise HR and Financial Technology (SaaS)
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face, MLOps, Docker, Kubernetes, AWS or GCP, Data Structures & Algorithms, Object-Oriented Design
Preferred skills
Experience with information retrieval and recommendation systems, Responsible AI practices
Technologies
PyTorch, TensorFlow, Scikit-learn, Hugging Face, Docker, Kubernetes, AWS, GCP
Responsibilities
Design, develop, and deploy scalable ML models and AI systems; Take full ownership of the ML lifecycle from data extraction to continuous monitoring; Partner with cross-functional teams to translate business problems into AI solutions; Establish engineering best practices and MLOps processes; Mentor junior engineers and conduct code reviews; Ensure models adhere to data privacy, security, and ethical AI standards.
Seniority
Senior, hands-on IC with mentorship responsibilities