Vacancy Description
Shape the future of AI at Workday as a Principal Machine Learning Engineer. Join a senior team to design and build next-generation AI systems in a hybrid work model.
Workday's Agent Factory is where innovation thrives. In this role, you’ll engage with cross-functional teams to create intelligent agents that integrate deeply into Workday’s architecture. Expect to influence the full lifecycle of ML systems, from problem framing to deployment and monitoring.
Key Responsibilities: • Design scalable ML systems for AI agents • Collaborate with product managers and engineers • Implement frameworks for LLM-powered agents • Ensure solutions are observable and enterprise-ready • Drive the lifecycle from data strategy to continuous improvement
Requirements: • 10+ years in machine learning engineering • 4+ years with PyTorch and TensorFlow • Experience with cloud platforms like AWS or GCP • Proven track record of leading ML teams • Bachelor’s degree in relevant field; Ma...
Workday's Agent Factory is where innovation thrives. In this role, you’ll engage with cross-functional teams to create intelligent agents that integrate deeply into Workday’s architecture. Expect to influence the full lifecycle of ML systems, from problem framing to deployment and monitoring.
Key Responsibilities: • Design scalable ML systems for AI agents • Collaborate with product managers and engineers • Implement frameworks for LLM-powered agents • Ensure solutions are observable and enterprise-ready • Drive the lifecycle from data strategy to continuous improvement
Requirements: • 10+ years in machine learning engineering • 4+ years with PyTorch and TensorFlow • Experience with cloud platforms like AWS or GCP • Proven track record of leading ML teams • Bachelor’s degree in relevant field; Ma...
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