Senior Machine Learning Engineer

Position Overview

An innovative Insurtech startup based in Singapore is seeking a Senior Machine Learning Engineer to enhance their team.

Key Responsibilities

• Develop automated data pipelines to convert raw data into clean, feature-ready datasets.
• Create feature engineering and ETL components that support machine learning and analytics objectives.
• Oversee pipeline orchestration ensuring reliability, scalability, and cost-effectiveness.
• Maintain machine learning workflows with continuous monitoring of models, drift detection, and implementing data quality controls.
• Work collaboratively with data scientists and engineers to reliably integrate machine learning outputs into live products.

Qualifications

• Minimum of 7 years’ experience designing and scaling production data and machine learning pipelines.
• Proficiency in ETL processes, feature engineering, orchestration, and cloud data platforms.
• Strong skills in Python programming, Apache Spark, and machine learning libraries such as scikit-learn and XGBoost.
• Experience establishing robust frameworks for data quality, validation, and governance.
• Expertise in monitoring production deployments, tracking model performance, and detecting model drift.
• Familiarity with Azure cloud services, Databricks platform, and working with data in healthcare, insurance, or claims domains.

Benefits and Work Environment

• Opportunities for structured career advancement with numerous professional development options.
• A stable and hybrid-friendly workplace culture.

Additional Information

The organization is strongly committed to diversity and encourages candidates from varied backgrounds to apply. This role is based onsite in Singapore.