We’re looking for passionate professionals who can bridge
traditional machine learning and cutting-edge GenAI
to solve real-world healthcare challenges.
What we’re looking for:
✔️ Strong foundation in ML concepts – supervised/unsupervised learning, uplift modeling, time-to-event, calibration, bias/variance, drift & monitoring
✔️ Hands-on experience with
GenAI / LLMs
and classical ML approaches
✔️ Expertise in:
Document understanding (prior auth, EOBs)
Summarization, classification, entity extraction
Retrieval-Augmented Generation (RAG), prompt design & evaluation
✔️ Ability to design robust evaluation frameworks:
Offline metrics (Precision/Recall, AUROC, MAE)
Business KPIs & human-in-the-loop QA
LLM evaluations (groundedness, hallucination, toxicity, PHI leakage)
✔️ Working knowledge of tools like
Python, SQL, notebooks, ML lifecycle tools (MLflow or similar)