Machine Learning Engineer
Local Infusion•Nashville, TN
•Remote
About The Position
Local Infusion is building a next-generation operating system for infusion care — powered by automation, AI, and real-time insights. We’re looking for a Machine Learning Engineer to own the intelligence layer of our platform. You’ll work across structured and unstructured data to drive automation, predict bottlenecks, and help patients start treatment faster.
Requirements
- 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).
Responsibilities
- Build and deploy 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 across systems
- Define success metrics, monitor model performance over time, and iterate quickly to improve accuracy and reliability. Set up training data, data labeling workflows or feedback loops for model improvement.
- Collaborate with product, engineering, and operations to identify high-leverage automation opportunities and embed models into workflows.
Benefits
- Medical, dental, and vision insurance through our employer plan
- Short and long-term disability coverage
- 401(k) — as an early-stage startup, and we match!
- 15 Days PTO — and we want you to take it!
- Competitive paid parental leave and flexible return to work policy.
- professional development opportunities
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
