Machine Learning Engineer MLE Python

Key Responsibilities

Develop and deploy predictive ML models for risk scoring, claims automation, fraud detection, and personalization.

Build backend APIs using Python and FastAPI to serve models and integrate with insurance platforms.

Design, implement, and optimize ETL/ML workflows on Databricks and Spark, ensuring data governance compliance.

Create intuitive React.js dashboards for underwriters, claims teams, and business stakeholders to visualize model outputs and KPIs.

Manage PostgreSQL databases for secure storage of policy, claims, and model metadata.

Implement production-grade ML model deployment with monitoring, drift detection, audit trails, and rollback mechanisms.

Ensure compliance with insurance regulations (e.g., MAS, GDPR) and internal security policies.

Collaborate effectively with actuaries, data scientists, and business teams to translate business needs into technical solutions.