Machine Learning Engineer - Recruiting From Scratch

Key Responsibilities

• Design, develop, and deploy production‑grade machine learning models that predict claim outcomes, detect fraud, and automate decision workflows.
• Collaborate with data engineers to ingest, clean, and transform large insurance datasets using AWS services (S3, Glue, Redshift).
• Implement end‑to‑end ML pipelines with CI/CD practices, ensuring model reproducibility and monitoring in production.
• Conduct feature engineering, model evaluation, and hyper‑parameter tuning to achieve measurable performance gains.
• Translate business requirements into technical solutions, presenting insights to stakeholders and iterating based on feedback.

Requirements

• 3+ years of experience building ML solutions in a production environment.
• Proficiency in Python, scikit‑learn, TensorFlow/PyTorch, and SQL.
• Hands‑on experience with AWS ML services (SageMaker, Lambda, Step Functions).
• Strong understanding of data engineering concepts and experience with large‑scale data pipelines.
• Excellent problem‑solving skills and ability to communicate complex ideas to non‑technical audiences.