Role overview

Machine Learning Engineer

Requirements and responsibilities

Readable role content extracted into sections for faster review.

Key Accountabilities:

  • Model Development: Build and deploy ML models to identify missing data, predict treatment delays, triage high-risk referrals, and score payer/patient friction
  • AI Integration: Architect and maintain LLM-powered workflows
  • Data Infrastructure: Build and maintain data pipelines to collect, clean, label, and store data across systems
  • Model Monitoring: 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.
  • Cross-Functional Partnership: Collaborate with product, engineering, and operations to identify high-leverage automation opportunities and embed models into workflows.

Key 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).

The Local Infusion Way

  • Medical, dental, and vision insurance through our employer plan
  • Short and long-term disability coverage

The Local Infusion Way

  • 401(k) — as an early-stage startup, and we match!

The Local Infusion Way

  • 15 Days PTO — and we want you to take it!

The Local Infusion Way

  • Competitive paid parental leave and flexible return to work policy.

The Local Infusion Way

  • We invest in your career. Our company is growing quickly, and we'll give you the opportunity to do the same. You'll have access to a number of professional development opportunities so that you can keep up with the company's evolving needs and grow your career along the way.
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Browse stack
FocusMachine Learning EngineerRole area
Seniority signalMiddleCandidate level
StackAWS, LLM, PythonPrimary skills
Location1 accepted countryEligibility

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