Pytorch Geometric ML Engineer

Company Description CareSet supercharges pharma marketing by commercializing 100% of Medicare A, B, C, and D claims, grouping them into patient journeys by disease. Using the largest cohort of patients available, we track disease progression and the teams of doctors treating them. This enables outcomes research teams to create new patient segmentation and allows brand managers to target outreach more effectively. CareSet's innovative approaches help drive impactful marketing initiatives and improved patient outcomes. Role Description This is a contract remote role for a Pytorch Geometric ML Engineer. The role involves developing, implementing, and optimizing machine learning models using PyTorch Geometric. Daily tasks may include designing and testing neural network algorithms, analyzing data patterns, and collaborating with cross-functional teams to enhance algorithm performance. The engineer will work with large datasets, applying statistical and computational methods to extract meaningful insights and improve model accuracy. Qualifications • Strong knowledge of Neural Networks and Pattern Recognition • Proficiency in Computer Science and Algorithms • Background in Statistics and computational analysis • Experience with PyTorch and machine learning frameworks • Excellent problem-solving and analytical skills • Ability to work independently and remotely • Relevant experience in healthcare or pharma industries is a plus • Degree in Computer Science, Engineering, Mathematics, or related field