Principal Engineer, Data Insights

📋 Description

• Real-time ML scoring infra processing 10K+ claims daily with under 2s latency
• Feature engineering pipelines from claims, payer contracts, and partner data
• Multi-dimensional super scoring across internal and partner data
• MLflow registry for versioning, lineage, deployment pipelines
• Unity Catalog governance and Delta Lake data lineage
• End-to-end ML pipeline: training, deployment, monitoring

🎯 Requirements

• BS/MS in Computer Science or Software Engineering
• 6-8+ years deploying production ML systems
• Databricks, MLflow, Spark optimization, and distributed architectures
• Python, scikit-learn, XGBoost, LightGBM, deep learning libraries
• Time series forecasting, ensembles, feature engineering at scale
• Real-time scoring APIs, model monitoring, A/B testing