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