ML engineer

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profile Job Location:

Chennai - India

profile Monthly Salary: Not Disclosed
Posted on: 11 hours ago
Vacancies: 1 Vacancy

Job Summary

ML solutions: Develop and deploy predictive models for risk scoring claims automation fraud detection and personalization.
Backend services: Build robust APIs using Java/Kotlin (Spring Boot or Ktor) for model inference and integration with insurance platforms.
Data pipelines: Design and optimize ETL/ML workflows in Databricks or Spark ensuring compliance with data governance and regulatory standards.
Frontend: Create intuitive dashboards for underwriters claims teams and business users to visualize model outputs and KPIs.
Database management: Work with PostgreSQL databases to store policy claims and model metadata securely.
Model deployment & monitoring: Implement production-grade deployment strategies with drift detection audit trails and rollback mechanisms.
Compliance & security: Ensure solutions adhere to insurance regulations (e.g. MAS GDPR) and internal security policies.
Cross-functional collaboration: Communicate effectively with actuaries data scientists and business stakeholders.
ML solutions: Develop and deploy predictive models for risk scoring claims automation fraud detection and personalization. Backend services: Build robust APIs using Java/Kotlin (Spring Boot or Ktor) for model inference and integration with insurance platforms. Data pipelines: Design an...
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