Machine Learning Engineer

Job Summary

Owning the intelligence layer of a next-generation operating system for infusion care, the full-time remote Machine Learning Engineer will build and deploy ML models, integrate AI workflows, and maintain data infrastructure to enhance patient treatment processes.

Key responsibilities:

• Build and deploy ML models to identify missing data, predict treatment delays, and triage high-risk referrals
• Architect and maintain LLM-powered workflows for AI integration
• Collaborate with product, engineering, and operations teams to identify automation opportunities and embed models into workflows

Required qualifications:

• 6+ years in ML engineering, data science, or applied AI roles, with a preference for healthcare experience
• Proficient in Python (Pandas, Scikit-learn, LangChain, PyTorch or TensorFlow) and SQL
• Strong experience building and deploying models in production environments
• Familiarity with LLM integration, retrieval-augmented generation (RAG), and vector search technologies
• Experience working with unstructured data and healthcare data (EMR/EHR, insurance claims, HL7/FHIR)