Applied Research Scientist

3 days ago

Bhavnagar, Gujarat, India beBeeLlmSafety Full time ₹ 15,00,000 - ₹ 25,00,000

Job Title: Applied Research Scientist - LLM Safety

About the Role

  • Design and build robust guardrails to protect against prompt injection attacks, toxicity, bias, hallucinations, and model drift in Large Language Models (LLMs).
  • Develop and maintain evaluation frameworks to monitor LLM safety, fairness, and compliance.
  • Build automated pipelines using Python and SQL to process, tag, and evaluate LLM outputs.
  • Utilize vector databases and embeddings to detect unsafe content or model drift.
  • Implement internal dashboards and visualizations (Streamlit, Dash, or lightweight React/JS) for Proof-of-Concepts and internal tools.
  • Collaborate with ML engineers and product teams to integrate LLM safety components into production APIs or applications.
  • Stay current with AI safety research, emerging tools (Ragas, LangChain, Guardrails.ai), and regulatory standards (EU AI Act).

Required Skills and Qualifications

  • 1-3 years of experience in data science, applied machine learning, or LLM-based applications.
  • Strong programming skills in Python and experience writing SQL for data exploration or feature engineering.
  • Solid understanding of Natural Language Processing (NLP), deep learning (CNN/RNN/Transformers), and LLM architectures.
  • Hands-on experience with Hugging Face, LangChain, LLM APIs (OpenAI, Anthropic), and vector stores (FAISS, Pinecone, Chroma).
  • Familiarity with front-end basics (Streamlit, Dash, or simple HTML/CSS/JS) is a plus, not mandatory.
  • Experience with model evaluation, red-teaming, or safety interventions in NLP/LLM systems.
  • Preferred: Familiarity with deploying ML pipelines in production (Docker, FastAPI) and ability to thrive in a fast-paced startup environment.

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