Principal Ai Engineer - Evinova

Astrazeneca - Madrid

| Responsibilities | Design and implement AI agentic workflows and advanced machine learning models to solve complex healthcare problems. | Translate analytical prototypes into robust, scalable production systems. | Lead end-to-end ML lifecycle from data preparation to deployment and monitoring. | Develop and maintain data pipelines supporting model training and deployment. | Deliver production ready code as well as infrastructure as code, implementing best practices for code quality, testing, and documentation. | Collaborate with cross-functional teams to deliver data-driven solutions. | Mentor team members with a less technical background in software engineering. | Collaborate in a multidisciplinary environment to align AI initiatives with business objectives and drive digital transformation. | Stay current with advancements in data science, AI and software engineering.