
Lead NLP Model Developer
2 weeks ago
As a skilled Lead NLP Model Developer, you will be responsible for developing and implementing cutting-edge natural language processing (NLP) models tailored to the healthcare and oncology text domain.
Your primary responsibility is to drive proof-of-concepts from rapid iterations to rigorous experimental evaluations on clinical-text tasks. You will collaborate closely with production teams to hand off scalable prototypes that demonstrate clear performance gains.
Key Responsibilities:- Model Innovation & Prototyping: Rapidly prototype novel LLM architectures, adapter modules, and prompt-tuning strategies for tasks such as clinical note summarization, entity extraction, and question answering.
- Experimental Design & Analysis: Define evaluation protocols, run ablation studies, and analyze results to quantify improvements in accuracy, robustness, and domain generalization.
- Proof-of-Concept Development: Build end-to-end POCs demonstrating how research breakthroughs translate into tangible gains on real healthcare datasets.
- Collaboration & Knowledge Sharing: Work alongside NLP engineers and MLOps teams to hand off production-ready prototypes; present findings in regular research seminars and contribute to internal or external publications.
- Literature & Trend Monitoring: Continuously survey the latest NLP/ML research, distill key innovations, and propose experiments to test applicability in our clinical environment.
What We Expect:
- Strong background in NLP model development and deployment.
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Familiarity with data preprocessing, feature engineering, and model tuning techniques.
- Excellent communication and collaboration skills.
We offer a dynamic work environment with opportunities for professional growth and development. You will have access to state-of-the-art infrastructure and tools to support your work.
In addition, you will have the opportunity to work on challenging projects that have a direct impact on the healthcare industry.
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