data
Posted 4 weeks agoNLP LLM Specialist
at Wisconsin
Madison, United StatesRemote
Requirements
- WHDH is a federally funded initiative developing a secure, cloud-native data ecosystem designed to support biomedical research, advanced analytics, and AI-driven discovery using real-world health data.
- The engineer will design and deploy production-grade AI services, integrate LLM capabilities into the WHDH platform, and support researchers and partner organizations in leveraging these tools for applied healthcare analytics.
- The position requires a strong engineering mindset and the ability to translate emerging AI capabilities into reliable, scalable solutions operating within a secure research data environment. Key
- experience in Python and familiarity with modern NLP frameworks such as Hugging Face Transformers, spaCy, PyTorch, or TensorFlow .
- Experience working with large-scale data processing pipelines and distributed data environments.
- Experience deploying AI models using containerization technologies such as Docker and orchestration frameworks such as Kubernetes .
- Ability to design and build scalable APIs and backend services supporting AI-powered applications. Preferred
- Experience working with biomedical or clinical text data. Familiarity with healthcare data models and standards such as FHIR, OMOP, or UMLS.
- Experience developing AI solutions in cloud environments such as AWS, Azure, or Google Cloud.
- Experience with MLOps practices including model deployment, monitoring, and lifecycle management.
- Familiarity with vector databases, embedding models, and retrieval-augmented generation (RAG) architectures.
- Experience building generative AI applications using modern LLM frameworks.
- Education: PhD Preferred; Focus in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field preferred.
- How to Apply: For the best
- experience completing your application, we recommend using Chrome or Firefox as your web browser.
- If you are selected for this position you must provide proof of work authorization and eligibility to work.
Experience
- Qualifications: 3 Years of full-time professional