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4 days ago
We are seeking a skilled NLP Research Engineer with 2–3 years of hands-on experience in model development and prototyping.
- Primary Responsibilities:
- Design novel LLM architectures, adapter modules, and prompt-tuning strategies for tasks such as clinical note summarization, entity extraction, and question answering.
- Evaluate the effectiveness of these approaches by defining evaluation protocols, running ablation studies, and analyzing results to quantify improvements in accuracy, robustness, and domain generalization.
- Develop end-to-end POCs demonstrating how research breakthroughs translate into tangible gains on real healthcare datasets.
About the Role: In this R&D-focused position, you will explore and implement state-of-the-art LLM architectures, prompt engineering strategies, and LLM training techniques tailored to healthcare and oncology text.
Key Qualifications:
- Bachelor's or Master's degree in Computer Science, Computational Linguistics, AI/ML, or a related field.
- Strong proficiency in Python programming and deep familiarity with PyTorch or TensorFlow.
- Experience working with NLP frameworks (e.g., spaCy, NLTK, HuggingFace Transformers, LangChain, vectorDBs), deep learning libraries (e.g., PyTorch), and common data preprocessing techniques.
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