Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there''s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that''s the kind of work we want to be part of.The role:We seek an adept expert to contribute significantly to our RandD team, bridging machine learning engineering with applied data science. You''ll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems.Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation.Help our CDMO''s mission by turning research insights into practical solutions efficiently.Key responsibilities: Compose, construct, and uphold resilient machine learning operations (MLOps) pipelines that facilitate the complete lifecycle of AI models-from creation to implementation and supervision. Guarantee the successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research fi