Machine Learning Data Engineer - Obstetric Ultrasound

GE HealthCare is seeking a Machine Learning Data Engineer to join their Obstetric Ultrasound team. This role combines cutting-edge ML engineering with healthcare innovation, focusing on developing algorithms for ultrasound image interpretation in obstetric and maternal health. As part of an $18 billion business with 51,000 employees, you'll work on configuring databases and ML training pipelines in AWS, manage dataset transfers, and coordinate multiple teams across regions. The position offers the opportunity to work with state-of-the-art medical imaging technology while contributing to improved patient care. You'll be responsible for implementing ETL pipelines, managing cloud resources, and collaborating with cross-functional teams including product, clinical, and regulatory departments. The ideal candidate brings strong technical skills in Python, ML frameworks, and cloud platforms, combined with experience in medical imaging. This remote position offers the chance to work with a global leader in healthcare technology while helping to create a world where healthcare has no limits. The role requires a blend of technical expertise, healthcare domain knowledge, and strong collaborative skills, making it an excellent opportunity for those passionate about applying ML to meaningful healthcare challenges.