ML / Data Engineer – Data Science Enablement

We are seeking a ML / Data Engineer – Data Science Enablement to support the Rare Disease Business Unit (RDBU) patient finding team by building scalable pipelines, productionizing models, and establishing robust evaluation and monitoring frameworks.

Requirements

• Build and maintain scalable data and ML pipelines to support patient finding use cases across the patient journey
• Productionize machine learning models by developing deployment workflows, APIs, and batch/real-time scoring pipelines
• Design and implement model evaluation, validation, and monitoring frameworks
• Enable end-to-end ML lifecycle management, including training, versioning, deployment, and retraining workflows
• Partner with RDBU data science teams to translate analytical solutions into production-ready systems
• Develop ML-ready datasets and feature pipelines, ensuring data quality, consistency, and reusability
• Support model tracking and experiment management using standardized tools and frameworks
• Build tools and utilities to monitor, track, and operationalize model outputs for downstream consumption
• Collaborate with enterprise data and platform teams to ensure compliance with data governance, security, and architecture standards
• Follow engineering best practices for code quality, documentation, testing, and CI/CD integration