Senior AI / Machine Learning Engineer – Clinical Decision Support Systems (CDSS) Location: Saudi Arabia Industry: Healthcare / Hospital / Digital Health Employment Type: Full-time | Senior Level About the Role -------------------------------- We are looking for a Senior AI / Machine Learning Engineer to lead the development and deployment of AI-driven disease risk prediction models as part of a Clinical Decision Support System (CDSS) used in a hospital environment. This role focuses on real-world clinical AI, supporting physicians with explainable, safe, and regulatory-compliant risk predictions for: Sepsis Diabetes Cardiac events AI outputs will assist clinicians and will not replace clinical judgment. What You’ll Do -------------------------------- Clinical AI Development Design and deploy risk prediction models using hospital EHR data Build models for: Sepsis early warning Diabetes risk stratification Cardiac risk prediction Select and optimize models such as XGBoost, LightGBM, CatBoost Define clinical thresholds in collaboration with physicians Explainable & Safe AI Implement explainable AI (SHAP / LIME) for every prediction Ensure outputs include: Key contributing clinical factors Confidence scores Reduce false alerts and clinician alert fatigue Maintain human-in-the-loop decision controls Healthcare Data & Integration Work with EHR / HIS data using HL7 & FHIR Handle real-world clinical data (missing, noisy, time-dependent) Collaborate with IT, clinical, and data governance teams Validation & Quality Lead retrospective and prospective (silent-mode) validation Monitor performance using healthcare-specific metrics: Sensitivity / Specificity AUROC False-positive rates Monitor model drift and bias Saudi Regulatory Compliance Support compliance with: --------------------------------------------------- SFDA (SaMD – Software as a Medical Device) Saudi PDPL SDAIA AI governance principles Contribute to clinical evaluation and audit documentation Ensure full audit trails for AI decisions What We’re Looking For --------------------------------------------------------- Experience 7+ years in AI / Machine Learning 3+ years working with healthcare or clinical data Experience deploying ML models in production environments Prior work with CDSS, healthcare AI, or predictive analytics preferred Technical Skills Expert in Python Strong hands-on experience with: XGBoost / LightGBM / CatBoost Scikit-learn Explainability tools (SHAP required) Experience with time-series patient data Familiarity with Docker, FastAPI, MLflow is a plus Healthcare & Regulatory Knowledge (Preferred) Understanding of hospital workflows (ICU, wards, OPD) Familiarity with clinical data (vitals, labs, diagnoses) Knowledge of SFDA, PDPL, hospital ethics / IRB Experience in Saudi Arabia or GCC healthcare is an advantage Why Join Us? --------------------------------------- Work on AI that directly impacts patient safety Build regulatory-grade clinical AI, not prototypes Collaborate closely with clinicians and hospital leadership Play a key role in shaping the hospital’s AI strategy High ownership, high visibility, real clinical impact Ideal Candidate -------------------------------------------- A senior AI professional who understands that in healthcare: Accuracy alone is not enough — explainability, safety, and trust matter.