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 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)