Machine Learning Engineer | Digital Health
Core
Building production AI solutions for high-information domains like healthcare and document intelligence, focusing on multimodal generative AI, predictive models, and data interoperability.
Role type
Senior Machine Learning Engineer (Digital Health & Data Intelligence)
Builds
Functional prototypes, production-ready AI models, and automated data pipelines for public sector clients.
Domain
Digital Health, Document Intelligence, Generative AI
Deliverable
production ML models
Required skills
Supervised/unsupervised learning, Deep Learning, Generative AI (LLMs, RAG, fine-tuning), Python, PyTorch/TensorFlow, Data interoperability (FHIR, DICOM), MLOps/LLMOps, AI safety & bias control
Preferred skills
PhD, healthcare domain experience, open source contributions, scientific publications
Technologies
LangChain, Hugging Face, FAISS, Qdrant, MLflow, Kubeflow, Docker, Kubernetes, FastAPI, Jupyter
Responsibilities
Develop and validate robust AI models; design data acquisition and normalization pipelines; collaborate with stakeholders to define problem solutions; manage model lifecycle from prototype to production; monitor performance and retrain models; ensure compliance with standards like FHIR/DICOM.
Seniority
Senior, hands-on IC
