Principal AI Engineer - Evinova
Required skills
Degree in Computer Science, Mathematics, Physics or related quantitative field, 5+ years in data science roles focused on production-ready solutions, Strong Python programming with proficiency in data science libraries such as NumPy, pandas, scikit-learn, SciPy, Optuna and TensorFlow/PyTorch
Technologies
AWS, traditional deep learning models, modern MLOps practices
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
Seniority
Principal AI Engineer
Domain
Healthcare
