Senior AI ML Engineer

To support advanced analytics and AI capabilities, the full-time Senior AI ML Engineer will design, develop, deploy, and maintain scalable machine learning solutions remotely, with occasional on-site requirements in Arizona. Key responsibilities Lead the design and implementation of scalable AI/ML solutions, including predictive models and workflows that align with clinical and operational objectives Develop and maintain end-to-end machine learning pipelines, ensuring robust data ingestion, feature engineering, and lifecycle management Architect and support production-grade MLOps practices, including CI/CD, model versioning, and automated monitoring and testing Required qualifications Bachelor's degree or equivalent experience required 7 years of progressive experience in AI/ML engineering, machine learning operations, or related software engineering roles required Hands-on experience with cloud-native AI/ML services, preferably in Google Cloud Platform (GCP) Strong SQL and data engineering skills with experience in large-scale data processing and feature engineering Knowledge of MLOps, DevOps practices, and API development for integrating AI/ML capabilities into applications