Machine Learning Engineer

Job Summary

A company is looking for a Machine Learning Engineer - Insurance AI.

Key Responsibilities

• Build and maintain ML pipelines for data ingestion, feature processing, model training, deployment, and monitoring in AWS
• Extend and adapt existing tooling from the Sydney AICV team for US Insurance AI use cases
• Integrate internal and external APIs to connect datasets, models, and services

Qualifications

• 2-4 years as a Machine Learning Engineer or ML-focused Software Engineer
• Strong Python skills with a track record of writing clean, tested, production-grade code
• Hands-on experience with ML libraries like PyTorch, scikit-learn, and pandas
• Experience building and maintaining ML pipelines in production environments
• Solid SQL skills and familiarity with data engineering tools (Airflow, Spark, or dbt)