Machine Learning Engineer (all genders)
Core
Building and deploying machine learning models at scale to integrate intelligent systems into real-world clinical environments and medical workflows.
Role type
Machine Learning Engineer
Builds
Production ML models and AI-powered solutions for hospital operations
Domain
Healthcare / Clinical Data / Federated Learning
Deliverable
production ML models
Required skills
ML frameworks (PyTorch, scikit-learn), LLMs, ASR Models, high-performance computing, large-scale dataset training
Preferred skills
Federated Machine Learning frameworks, academic publications, GitHub contributions
Technologies
PyTorch, scikit-learn, LangChain
Responsibilities
Design and train ML models on large-scale clinical datasets, integrate AI-powered solutions into medical workflows, collaborate with core development team to bring ML into production, work with Federated Machine Learning frameworks, leverage high-performance computing infrastructure to build robust ML pipelines
Seniority
Mid-level, hands-on IC
