Machine Learning Engineer – Lung Ultrasound (someone in EST or CST tim…
GE HealthcareFull Time
Junior (1 to 2 years)
Candidates must possess an advanced degree, such as a PhD, PostDoc, or MSc, in computer science, computer vision, medical imaging, or a related field. They should have experience developing deep learning methods specifically for medical imaging data and demonstrated proficiency in working with various medical imaging modalities like MRI, CT, and Ultrasound. Strong programming skills in Python and experience with deep learning frameworks such as PyTorch are also required.
As a Deep Learning Engineer for Medical Imaging at QuantCo, you will collaborate on a range of medical imaging projects, applying your expertise to tasks including registration, denoising, segmentation, and 3D scene reconstruction. You will contribute to optimizing MRI protocols, particularly focusing on diffusion imaging, to power algorithms that replace physical biopsies, and you will work within a team to push the boundaries of performance in these areas.
Data analytics for business decision-making
QuantCo specializes in transforming data into actionable business decisions. The company offers specialized products such as algorithmic pricing, data-driven claims management, and high-dimensional forecasting solutions. These products help businesses optimize operations, set optimal prices, manage insurance claims efficiently, and predict future trends accurately. QuantCo differentiates itself from competitors by combining advanced data expertise with practical business knowledge, thanks to a diverse team of over 100 experts in economics, data science, software engineering, and machine learning. The goal of QuantCo is to create significant economic impacts for its clients, which include large organizations in financial services, retail, industrial, and healthcare sectors, by providing tailored solutions that enhance decision-making and drive revenue.