Requirements

• 4+ years of experience in machine learning engineering, applied ML, or a related discipline with production model deployment experience.
• Solid software engineering fundamentals including some experience with distributed or production systems.
• Familiarity with ML frameworks and languages such as Python, PyTorch, TensorFlow, and basic MLOps practices like model versioning and monitoring.
• Ability to independently execute technical tasks and collaborate with senior engineers when needed.
• Good collaboration and communication skills, with a willingness to learn from senior team members.

Nice to Haves

• Exposure to large-scale, multi-tenant SaaS platforms.
• Interest or experience applying ML to enterprise or administrative platform problems such as anomaly detection, automation, or intelligent configuration.
• Familiarity with cloud infrastructure and data processing systems.
• Practical experience developing generative AI capabilities and integrating Large Language Models (LLMs), preferably using orchestration frameworks like LangChain and agentic architectures.
• Bachelor's or Master’s degree in Computer Science, Machine Learning, or related fields, or equivalent practical experience.

What You’ll Be Doing

• Build and help productionize machine learning models and pipelines integrated with Workday’s platform-level systems.
• Follow and apply best practices for ML engineering including model development, evaluation, deployment, and monitoring.
• Collaborate with distributed-systems engineers to ensure ML solutions scale reliably in a multi-tenant architecture.
• Contribute to the full ML lifecycle including data preparation, model training, deployment support, and production monitoring.
• Work with product management, data engineering, and platform teams on well-defined ML-driven automation initiatives.
• Participate in code reviews and knowledge-sharing to maintain quality standards and build skills.
• Stay current with new ML tools, frameworks, and techniques relevant to the team.
• Support the team’s technical roadmap for ML capabilities within the Adoption team.
• Develop and deploy Generative AI capabilities and Large Language Model applications.

Perks and Benefits

• Competitive base salary range (€72,000 - €108,000 EUR for Ireland location) with potential eligibility for bonus plans and stock grants.
• Flexible work arrangement combining remote and in-office time with at least 50% of time spent in the office or field.
• Culture rooted in integrity, empathy, and shared enthusiasm with supportive, collaborative teams.
• Committed to diversity, equity, and inclusion, providing reasonable accommodations during the application process and employment.
• Investment in employee development with tools, skills training, and long-term support.