Lead Machine Learning Engineer
Core
Design, deploy, and monitor production ML models to automate administrative clinical practices and extract/predict clinical findings from structured and unstructured healthcare data.
Role type
Lead Machine Learning Engineer (Healthcare/NLP)
Builds
Production ML systems for retrieval, classification, and generative use cases in healthcare
Domain
Healthcare technology / Clinical intelligence / NLP
Deliverable
production ML models
Required skills
Python, deep learning frameworks (PyTorch), transformers, NLP, experimental design, model maintenance, data preprocessing, scalable system design
Preferred skills
Generative AI, Retrieval Augmented Generation (RAG), unstructured healthcare data processing, OCR, image-based document understanding, AWS SageMaker
Technologies
PyTorch, transformers, AWS SageMaker
Responsibilities
Design and develop advanced ML algorithms for retrieval, classification, and generative use cases; Develop reliable and scalable production ML systems; Write and maintain reusable codebases for data preprocessing, model training, evaluation, and deployment; Provide software and ML best practice guidance to junior engineers
Seniority
Senior, hands-on IC with leadership responsibilities