Machine Learning Engineer

About the Company

Local Infusion is the fastest growing infusion provider in the United States, with a mission to transform the specialty infusion industry. By providing both exceptional, patient-centered care and proprietary, AI-driven technology, Local Infusion accelerates access, simplifies workflows, and improves outcomes for patients, clinicians, and health systems.

Responsibilities

• Build and deploy ML models to identify missing data, predict treatment delays, and triage high-risk referrals
• 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, and iterate to improve accuracy
• Collaborate with product, engineering, and operations to embed models into workflows

Requirements

• 6+ years in ML engineering, data science, or applied AI roles
• Proficiency in Python (Pandas, Scikit-learn, LangChain, PyTorch or TensorFlow) and SQL
• Experience building and deploying models in production environments
• Familiarity with LLM integration, RAG, and vector search (e.g., Pinecone, FAISS)
• Skills in working with unstructured data including OCR, NLP, and document understanding
• Experience with cloud infrastructure (AWS preferred), Git, and DevOps practices
• Experience with healthcare data (EMR/EHR, insurance claims, HL7/FHIR)
• Experience building AI solutions in regulated environments (HIPAA)

Benefits

• Medical, dental, and vision insurance
• Short and long-term disability coverage
• 401(k) with company match
• 15 Days PTO
• Competitive paid parental leave and flexible return to work policy
• Professional development opportunities