Machine Learning Engineer
Remote · United States or Nashville, Tennessee, United States
Job Summary
Machine Learning Engineer to own the intelligence layer of Local Infusion's platform, building and deploying ML models to identify missing data, predict treatment delays, triage high-risk referrals, and score payer/patient friction; architect and maintain LLM-powered workflows; build and maintain data pipelines to collect, clean, label, and store data; monitor model performance and establish feedback loops; collaborate with product, engineering, and operations to embed models into workflows.
Required Qualifications
- 6+ years in ML engineering, data science, or applied AI roles (bonus for healthcare experience)
- Proficient in Python (Pandas, Scikit-learn, LangChain, PyTorch or TensorFlow) and SQL
- Strong experience building and deploying models in production environments
- Familiar with LLM integration, retrieval-augmented generation (RAG), and vector search (e.g., Pinecone, FAISS)
- Skilled in working with unstructured data: OCR, NLP, form/document understanding
- Experience with cloud infrastructure (AWS preferred), Git, and basic DevOps practices
- Comfortable partnering with product and operations teams to solve real-world business problems
- Working with healthcare data (EMR/EHR, insurance claims, HL7/FHIR)
- Building patient or payer-facing AI solutions in regulated environments (HIPAA)
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.