Machine Learning Engineer

3 days ago

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Titan Health Management Solutions

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Medical Reimbursement Audits (incl Zero Balance) • Medical Insurance Collections • Clinical Denials and Recovery • Revenue Cycle Management • Zero Balance Audit

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Description

• Under the direction of the Head of Technology, the Machine Learning Engineer will be responsible for designing, developing, and optimizing machine learning models with a specific focus on healthcare data. • This role requires advanced Python programming skills, expertise in machine learning techniques, and an understanding of healthcare-related data structures. • Experience with FHIR is preferred, though not mandatory. • The successful candidate will work collaboratively with engineering team members to develop and deploy data-driven solutions that ultimately serve to enhance patient care, operational efficiency, and improvements for our clients delivering and supporting care.

Requirements

• Bachelor’s or Master’s Degree in Computer Science, Data Science, Mathematics, or a related field (or equivalent work experience). • Advanced proficiency in Python for machine learning, including experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-Learn). • Experience with healthcare-related data structures and frameworks (e.g., FHIR, HL7, ICD-10, CPT) is preferred. • Knowledge of Agile methodologies and ability to work effectively in Agile teams. • Proven ability to work in HIPAA, HITRUST, or similar compliance-driven environments. • Excellent problem-solving, analytical, and critical thinking skills with attention to detail. • Effective communication skills, both oral and written, with the ability to explain complex technical concepts to non-technical stakeholders. • Experience in the MS Azure stack, and data engineering tools (e.g., Azure Data Factory) is preferred.