Senior NLP Research Engineer

2 days ago

Bengaluru, Karnataka, India beBeeResearch Full time ₹ 2,20,00,000 - ₹ 2,60,00,000

Join a pioneering team in NLP research as an experienced researcher engineer. In this key role, you will be responsible for leading the development of novel deep learning architectures and protocols.

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About the position:

We are seeking a talented researcher engineer with 2–3 years of hands-on experience in model development and prototyping. Your primary responsibility is to drive proof-of-concepts from rapid iterations to rigorous experimental evaluations on clinical-text tasks. While our production teams will help with deployment, you'll collaborate closely to hand off scalable prototypes that demonstrate clear performance gains.

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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.

What we offer:

You will have access to cutting-edge computing resources and collaborative opportunities with top industry experts. We foster a hard-working yet super fun culture where creativity and ideas thrive.

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Requirements:

Bachelor's or Master's degree in Computer Science, Computational Linguistics, AI/ML, or a related field. Strong Python skills and deep familiarity with PyTorch or TensorFlow. Proficiency in working with NLP frameworks and common data preprocessing techniques.

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What we expect you to bring:

1. Experience in model development and prototyping.
2. Strong understanding of deep learning architectures and protocols.
3. Excellent communication skills for sharing insights in seminars, whitepapers, or publications.

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