ML Engineer
Core
Design, build, deploy, and maintain advanced Machine Learning, Large Language Model (LLM), and multi-agent AI systems to improve healthcare operations and workflows.
Role type
Senior ML Engineer (Generative AI & Healthcare)
Builds
Proprietary ML models, LLMs, multi-agent AI systems, and Python microservices for healthcare applications.
Domain
Healthcare + Generative AI / Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Large Language Models (LLMs), fine-tuning, prompting strategies, Python, FastAPI, TensorFlow/PyTorch, Kubernetes, Google Cloud Platform (GCP), RESTful API design, scalable backend development, independent technical research.
Preferred skills
Experience with open-source LLMs, enterprise LLM platforms, intelligent simulation systems, scientific publications.
Technologies
FastAPI, Kubernetes, GCP, TensorFlow, PyTorch
Responsibilities
Design and deploy LLM-based solutions for healthcare workflows (e.g., prior authorization), fine-tune open-source LLMs, build Python microservices, orchestrate services on Kubernetes, monitor and optimize model performance, conduct independent AI/ML research, ensure compliance with healthcare regulatory requirements.
Seniority
Senior, hands-on IC
