Machine Learning Data Engineer in Medical Imaging

Contribute to cutting-edge healthcare solutions as a Machine Learning Data Engineer at ml Health 360. Design data pipelines and ML models for advanced medical imaging applications.

This role invites you to leverage your extensive experience in building and optimizing machine learning models specific to the medical field. Collaborate with a team focused on improving patient outcomes through innovative AI solutions, ensuring compliance with regulatory requirements in the process. A hands-on approach to data engineering will support the development of high-quality data pipelines within clinical environments.

Key Responsibilities:

• Create scalable ETL processes for DICOM and EHR data

• Build anomaly detection and lesion segmentation models

• Optimize ML systems to comply with FDA and CE standards

• Manage data integrity and preprocessing for medical images

• Implement MLOps practices for model traceability

Requirements:

• 5+ years of ML and data engineering experience

• Educational background in Computer Science or Biomedical Engineering

• Proficiency in Python, especially with ML frameworks

• Experience with large unstructured image datasets

• Familiarity with cloud platforms and compliance standards

Utilize your skills in data pipelines and ML for impactful solutions at ml Health 360.
#J-18808-Ljbffr