AI Engineer for Predictive Modeling & Time Series Analytics

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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