We are looking for an AI Engineer with strong skills in predictive analytics and time series modeling to help build a real time risk scoring engine for remote patient care. The resource will work with NLP engineers, vitals, device data, and patient profiles to power AI driven decision support and early alerts.
Responsibilities
Develop and train predictive models using structured and time series health data
Combine signals from multiple sources (vital signs, chronic care plans, patient profile, NLP derived data) into risk models
Validate model performance (precision, recall, AUC) with clinical sensitivity in mind
Package models for deployment in a scalable manner
Work with the NLP engineer to create end to end predictive workflows
Ensure compliance with healthcare standards (HIPAA)
Required Skills
3+ years of experience in machine learning and timeseries forecasting
Experience working with algorithms like Logistic Regression / Decision Trees / Random Forest
Strong programming background in Python
Experience working with NumPy / Pandas / PyTorch / TensorFlow
Deployment experience in Azure, AWS or GCP
Nice To Have Skills
Experience with health related datasets and performance metrics
Familiarity with integrating NLP derived features
Knowledge of early warning scores
Familiarity with clinical terminology and standards like ICD-10
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Ai Engineer • Islamabad, Pakistan