AI/ML Engineer
Company: Digital HIE Inc
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-07-12
About this role
Company Description
Digital HIE Inc. is a women-owned minority small business and SBA 8(a) certified company specializing in healthcare interoperability and modern application development. The organization focuses on HL7 FHIR technologies, EHR integration, patient data processing, and migration of legacy applications to microservices-based architectures. Digital HIE Inc. delivers solutions for NwHIN Connect and Direct services, enabling certification and connectivity with eHealth Exchange, CMS esMD, SSA MEGAHIT, and state departments of health for compliant data submission. The company has strong expertise in analysis, design, and integration of Master Patient Indexes, registries, repositories, and HISP services. It also supports a broad range of healthcare messaging standards, including HL7 v2/v3, FHIR, EDI X12, NCPDP, and payer-specific transactions such as 834 and 837.
Role Description
The AI/ML Engineer contract role is a remote position focused on designing, implementing, and deploying machine learning models that enhance interoperability solutions and healthcare data processing. Day-to-day responsibilities include building and optimizing algorithms for pattern recognition in clinical, claims, and compliance data, as well as developing and training neural network models aligned with HL7, FHIR, and other healthcare standards. The role involves collaborating with software engineers and architects to integrate AI-driven components into existing systems, performing data exploration and statistical analysis, and ensuring model performance, robustness, and scalability in production environments. The AI/ML Engineer will document models and workflows, contribute to technical design discussions, and help continually improve digital health solutions through experimentation and evaluation.
As an AI/ML Engineer, you’ll join a collaborative team of technologists, data scientists, and stakeholders to tackle meaningful challenges using ML, Generative AI, and modern ...