We’re looking for passionate professionals who can bridge
traditional machine learning and cutting-edge GenAI
to solve real-world healthcare challenges.
Applying for this role is straight forward Scroll down and click on Apply to be considered for this position.
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, xsgimln 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)