AI/ML Engineering Lead
Core
Lead the design and delivery of production ML and GenAI systems to protect customers against life's uncertainties.
Role type
Senior IC AI/ML Engineering Lead
Builds
Production ML and GenAI systems on Azure Databricks for insurance/financial services
Domain
Insurance / Financial Services / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, end-to-end ML lifecycle, MLOps, GenAI/LLM applications, modern data stack (dlt, dbt, Dagster), Azure DevOps, Microsoft Azure
Preferred skills
Financial services/insurance ML, Databricks Mosaic AI/Feature Store/Unity Catalog, responsible-AI and model-governance techniques
Technologies
Azure Databricks, MLflow, Databricks Model Serving, Unity Catalog, dltHub, dbt, Dagster, Azure DevOps, PyTorch, TensorFlow, scikit-learn
Responsibilities
Lead design and delivery of production ML and GenAI systems; Set technical direction and standards for the ML lifecycle; Provide hands-on technical leadership and mentoring; Build and operate MLOps foundations; Architect GenAI capabilities; Depend on the pod's data stack; Establish CI/CD for ML; Own model performance and cost; Partner with Model Risk, Data Governance, Legal, and Security; Translate product outcomes into ML solutions; Contribute to AI governance; Guide pragmatic adoption of the applied-AI landscape
Seniority
Senior, hands-on IC
