Machine Learning Engineer

Role Overview :

We are seeking a Machine Learning Engineer specializing in Classic ML algorithms to drive healthcare claims analytics and forecasting. This role requires hands-on experience in building, optimizing, and deploying ML models, with expertise in classification, risk prediction, and claims-based forecasting.

Key Responsibilities :

• Develop and deploy Classic ML models to solve key business challenges in healthcare claims processing and analytics.
• Own the full model lifecycle - from data ingestion and preprocessing to real-world deployment and monitoring.
• Specialize in Classic ML algorithms such as XGBoost, Decision Trees, Logistic Regression, Clustering, and Gradient Boosting for classification and forecasting applications.
• Apply time series forecasting, survival analysis, Cox models, and propensity score matching to optimize claims processing, provider reimbursements, and patient adherence predictions.
• Design scalable ML architectures, integrating structured / unstructured claims data (Optum, MarketScan, CMS, EHR).
• Optimize models for production, ensuring interpretability, efficiency, and compliance with healthcare regulations (HIPAA, CMS, OMOP CDM, NICE, ICER, SAP, FDA).
• Work closely with data engineers and healthcare domain experts to integrate models into real-time pipelines and dashboards.
• Ensure continuous model monitoring, retraining, and optimization based on evolving claims patterns and business needs.

Required Skills & Qualifications :

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