Artificial Intelligence Engineer

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 extractionRetrieval-Augmented Generation (RAG), prompt design & evaluation✔️ Ability to design robust evaluation frameworks:Offline metrics (Precision/Recall, AUROC, MAE)Business KPIs & human-in-the-loop QALLM evaluations (groundedness, hallucination, toxicity, PHI leakage)✔️ Working knowledge of tools like Python, SQL, notebooks, ML lifecycle tools (MLflow or similar)