Applied AI Engineer – Machine Learning & NLP
Core
Develop and implement AI solutions for healthcare, transforming clinical data into digital tools for medical decision support.
Role type
Applied AI Engineer (Machine Learning & NLP)
Builds
Production ML models, data pipelines, and clinical decision support APIs
Domain
Healthcare / Clinical NLP
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, HuggingFace, Transformers (BERT, Llama), NLP, LLMs, API development, data pipeline construction, model deployment, EHR data processing
Preferred skills
HL7 FHIR, MLOps, LangChain, LangGraph, healthcare data experience
Responsibilities
Develop, test, and deploy ML/NLP models using clinical data; Build and maintain data and inference pipelines; Integrate AI models into digital products; Develop APIs and processing routines for model deployment; Clean, normalize, and enrich real-world EHR data; Evaluate models with clinical metrics and iterate based on feedback; Collaborate with doctors, engineers, and product teams; Translate models into product features; Document technical solutions