Join mlHealth 360 as a Machine Learning and Data Engineer, focusing on cutting‑edge solutions for medical imaging. Collaborate closely with stakeholders to build scalable and compliant AI models. This role demands a deep understanding of data engineering and machine learning, specifically in a healthcare context. You will design ETL processes for DICOM and EHR data while ensuring the integrity of machine learning deployments. Collaborate with teams to automate model training, document architecture, and adhere to strict regulatory standards.

Key Responsibilities

• Create and manage clinical data pipelines for imaging data
• Deploy AI models for high‑accuracy anomaly detection
• Optimize models for regulatory performance and compliance
• Engage in zero‑cloud AI deployments matching hospital standards
• Implement data validation to ensure integrity

Requirements

• Bachelor's or Master’s in Computer Science or si...