Senior Machine Learning Researcher

2 weeks ago

Mount Abu, Rajasthan, India beBeeNLP Full time ₹ 10,00,000 - ₹ 15,00,000

Job Title:

NLP Research Engineer Position

We are seeking a driven NLP Research Engineer to explore and implement state-of-the-art LLM architectures, prompt engineering strategies, and LLM training techniques tailored to healthcare and oncology text.

Your primary responsibility is to drive proof-of-concepts—from rapid iterations to rigorous experimental evaluations on clinical-text tasks. Our team will collaborate closely with you to hand off scalable prototypes that demonstrate clear performance gains.

Main Responsibilities:

  • Rapidly prototype novel LLM architectures, adapter modules, and prompt-tuning strategies for tasks such as clinical note summarization, entity extraction, and question answering.
  • Define evaluation protocols, run ablation studies, and analyze results to quantify improvements in accuracy, robustness, and domain generalization.
  • Build end-to-end POCs demonstrating how research breakthroughs translate into tangible gains on real healthcare datasets.
  • Collaborate alongside NLP engineers and MLOps teams to present findings in regular research seminars and contribute to internal or external publications.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Computational Linguistics, AI/ML, or a related field.
  • 2–3 years of professional R&D experience in NLP or ML research roles.
  • Strong Python skills and deep familiarity with PyTorch or TensorFlow.
  • Proficiency in working with NLP frameworks (e.g., spaCy, NLTK, HuggingFace Transformers, LangChain, vectorDBs, etc), deep learning libraries (e.g., PyTorch), and common data preprocessing techniques.
  • Expertise in prompt engineering, few-shot learning, and fine-tuning for domain-specific tasks.
  • Familiarity with building retrieval-augmented generation (RAG) pipelines.
  • Hands-on experience with LLM fine-tuning using LoRA and SFT methods.
  • Solid understanding of experimental design, ablation studies, and statistical significance testing.
  • Familiarity with clinical or biomedical NLP is a plus.
  • If you have worked with Direct Preference Optimization (DPO), that's a plus.
  • Excellent communication skills for sharing insights in seminars, whitepapers, or publications.

About the Role:

This is an exciting opportunity for a talented NLP researcher to join our team and contribute to cutting-edge projects in healthcare and oncology text.

As a key member of our team, you will work closely with our experienced engineers and researchers to develop and deploy innovative NLP solutions.

We offer a collaborative and dynamic work environment, where you will be encouraged to grow and learn from your colleagues and the latest advancements in the field.

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