HealthLeap

Machine Learning Engineer

• Own and maintain end-to-end MLOps pipelines, from data ingestion to model deployment and monitoring
• Design, develop, and maintain machine learning models and incorporate LLMs into traditional ML systems
• Experiment with machine learning model architectures and optimize model performance and scalability
• Collaborate with data scientists and software engineers to push models into production environments
• Evaluate and monitor model performance, implementing necessary improvements and updates
• Drive deployment to production and scale the platform to improve hospital patient outcomes

Founding Machine Learning Engineer