
AI Engineer for Complex Healthcare Systems
5 days ago
The role of a Healthcare AI Engineering Fellow is to design, build and refine complex AI systems that address some of healthcare's toughest challenges.
Key Responsibilities:
- Develop advanced AI pipelines utilizing multi-agent architectures and large language models (LLMs).
- Create novel evaluation frameworks and tooling to drive innovation in the engineering team.
- Collaborate closely with clinicians, data architects, and seasoned ML engineers to solve problems and drive results.
Requirements:
- Expert proficiency in Python and at least one major ML framework (PyTorch, TensorFlow, JAX).
- Proven track record of deploying robust, production-grade AI solutions.
- Demonstrated ability to work independently with high agency and rapid iteration capability.
Desirable Skills:
- Experience with retrieval-augmented generation, vector databases, or agent orchestration.
- Familiarity with healthcare standards and constraints (training provided).
Expected Outcomes:
- Launch production-grade AI solutions directly impacting healthcare providers globally.
- Establish reusable technical assets integral to operational frameworks.
- Deliver improvements in model accuracy, scalability, and reliability.
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