Machine Learning Engineer

Bachelor’s degree in Computer Science, Engineering, or related field 5+ years' experience in relevant roles Proficiency in Python and machine learning frameworks (PyTorch or TensorFlow) Strong understanding of MLOps practices Experience with cloud platforms (AWS, GCP, Azure) Experience with tools like Docker and Terraform Familiarity with healthcare data and clinical workflows is a plus

Develop, deploy, and maintain machine learning models Design and implement scalable ML pipelines and infrastructure Translate novel algorithms into production-ready solutions Build and maintain MLOps tools and practices Optimize model performance for speed, reliability, and scalability Partner with clinicians, engineers, and product teams