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Lead daily central distribution and receiving operations at a hospital, overseeing staff scheduling, inventory control, regulatory compliance, ERP inventory modules, supplier credentialing and recalls, stakeholder collaboration, budgeting, and process improvement to ensure accurate, timely supply availability for patient care.

Lead enterprise AI/ML data architecture strategy and platform design, defining lakehouse/data mesh architectures, feature stores, MLOps, and model governance. Drive data platform roadmaps, ensure data quality, lineage, observability, and regulatory compliance, align ML engineering with product teams, and mentor architecture and engineering talent.

Lead and grow an AI/ML engineering team delivering agentic, reusable AI services for healthcare payment integrity and clinical operations. Drive platform design, cloud-based deployment, CI/CD/DevSecOps, production observability, ethical AI practices, cross-functional partnership, and repeatable customer deployments.

The Senior AI ML Engineer will design and implement AI/ML systems for healthcare, manage projects from ideation to release, and mentor engineers. Responsibilities include delivering quality code, driving architectural decisions, and collaborating with cross-functional teams.