PrincipalAIEngineer

**About the role and the project:** On average, it takes more than 10 years to develop a drug and costs more than $1.3 billion. Over 70% of drug R&D costs are spent on clinical development, yet the success rate from phase I to approval is only around 10%. At Evinova, a health tech business unit, we are on a mission to increase clinical trial success rates by 20%, accelerate clinical development timelines by 36 months, and reduce study costs by 50% by leveraging state-of-the-art AI and Machine Learning. If you are a solid coder with hands-on experience developing AI and ML solutions, strong understanding of modern deep learning, robust AWS skills, and a voracious learner, then you could be a fantastic fit for our team. Talent with ambition to grow into leadership roles will be a key differentiator for successful candidates. Glass ceiling smashers especially welcome. We are seeking a highly skilled and innovative Principal AI Engineer to design and implement advanced machine learning models that solve complex healthcare problems. In this role, you will translate analytical prototypes into robust, scalable production systems while leading the end-to-end AI and ML lifecycle from data preparation to deployment and monitoring. You'll develop and maintain critical data pipelines, deliver production-ready code following best practices, and collaborate with cross-functional teams to deliver data-driven solutions that align AI initiatives with business objectives. This position offers the opportunity to mentor team members, drive digital transformation in healthcare, and work with cutting-edge technologies including traditional deep learning models and modern MLOps practices. You'll be at the forefront of applying machine learning to revolutionize clinical development and drug discovery. **Accountabilities:** * Design and implement AI agentic workflows and advanced machine learning models to solve complex healthcare problems. * Translate analytical prototypes into robust, sca