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Job Description

Job Title: Machine Learning Engineer

Location: Nashville, TN

Remote Company: Local Infusion Role Overview: Build the intelligence layer of the platform, automating infusion care workflows using AI, automation, and real-time insights.

Key Accountabilities

Model Development: Build/deploy ML models for data detection, treatment delay prediction, risk triage, and friction scoring.
AI Integration: Maintain LLM-powered workflows.
Data Infrastructure: Build and maintain data pipelines.
Model Monitoring: Define metrics, monitor performance, iterate for accuracy, manage training data/labeling/feedback loops.
Cross-Functional Partnership: Collaborate with product, engineering, and operations for automation opportunities.

Key Requirements

6+ years in ML engineering, data science, or applied AI (healthcare bonus).
Proficient in Python (Pandas, Scikit-learn, LangChain, PyTorch/TensorFlow) and SQL.
Strong experience deploying models in production.
Familiar with LLM integration, RAG, vector search (Pinecone, FAISS).
Skilled in unstructured data: OCR, NLP, document understanding.
Cloud (AWS preferred), Git, basic DevOps.
Comfortable with product/ops collaboration.
Preferred: Healthcare data experience (EMR/EHR, claims, HL7/FHIR) and patient/payer AI in regulated environments (HIPAA).

Company Culture: Remote-first, respectful, upbeat team focused on mission-driven work. Full-time employees receive medical/dental/vision, disability, 401(k) with match, 15 days PTO, paid parental leave, and professional development opportunities. EEO employer.

Machine Learning Engineer

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