4 days ago
Dublin, IrelandSenior
Responsibilities
- Design, build, productionize, deploy, and monitor machine learning models and pipelines integrated with Workday platform systems.
- Own end-to-end ML lifecycle work from problem framing and data strategy through model training, deployment, and production performance monitoring.
- Design and deploy generative AI capabilities and LLM applications using agentic architectures.
- Partner with distributed-systems, data engineering, platform, product management, and core platform teams to deliver scalable ML-driven automation.
- Apply and refine ML engineering practices, evaluate tools and frameworks, and contribute to the ML technical roadmap.
- Provide technical leadership through architecture discussions, code and design reviews, technical standards, and mentoring of junior and mid-level engineers.
Requirements
- Substantial professional experience in machine learning engineering, applied ML, or a closely related discipline, including shipping ML systems to production.
- Strong software engineering fundamentals and experience building and operating distributed, production-grade systems.
- Proficiency with Python and common ML frameworks such as PyTorch or TensorFlow, along with MLOps practices including model versioning, ML monitoring, and ML deployment automation.
- Experience working independently on technical direction, architecture, and projects from concept through delivery.
- Demonstrated experience with technical leadership, cross-team initiatives, collaboration, and mentoring.
- Demonstrated experience designing and developing generative AI technologies and integrating LLMs into production systems.
- At least 7 years of experience working within large-scale, multi-tenant SaaS platforms.
- Experience applying ML to enterprise or administrative platform problems such as anomaly detection, automation, or intelligent configuration.
- Hands-on familiarity with LLM orchestration frameworks, preferably LangChain, and AI agentic architectures.
- Experience with cloud infrastructure and large-scale data processing systems.
- Advanced degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
Benefits
- Flexible work model requiring at least 50% of each quarter in the office or in the field, with remote home-office roles also able to attend important in-person events.
- Role may be eligible for the Workday Bonus Plan or role-specific commission/bonus and annual refresh stock grants.
- Workday provides comprehensive benefits and reasonable accommodations.
Categories
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.