Senior Machine Learning Engineer

About the role

Join Workday, a company that values passion and customer focus in the business of enterprise applications. As a Senior Machine Learning Engineer, you will be part of the Deployment Adoption Platform team, building an AI platform to reduce the cost of implementing Workday globally. You will have the opportunity to make a significant impact through your technical contributions and team-first mindset. Key missions: Contribuer à la construction d'une plateforme d'IA pour réduire le coût de mise en œuvre de Workday à l'échelle mondiale.. Utiliser votre expertise en ingénierie logicielle et en apprentissage automatique pour développer et déployer des applications utilisant des modèles de langage.. Collaborer avec des équipes interfonctionnelles pour architecturer des systèmes complexes et gérer des tâches asynchrones. Profile: - 8+ years of experience in software engineering - Proficiency in at least one other statically-typed language such as Java, Scala, Rust, or C++ - Experience in LangGraph, LangChain, and LangSmith - Expert level proficiency in Python - Demonstrated, hands-on experience building applications with Large Language Models - Experience implementing agentic design patterns where an LLM uses tools to interact with its environment - Experience developing and deploying applications on a major cloud platform (AWS, GCP, or Azure) - Proven success working within fast-paced, agile environments and cross-functional teams - Strong communication skills, with the ability to collaborate with both technical and non-technical partners - Experience architecting complex, event-driven systems capable of handling asynchronous tasks - Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions - Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement - Good understanding of Software Development principles and experience in deploying and scaling machine learning models in production environments - Strong Team Collaboration skills and the ability to mentor and guide other team members