Unlocking AI Safety: A Data Scientist's Role

3 days ago

Hubli, Karnataka, India beBeeArtificialIntelligence Full time ₹ 10,00,000 - ₹ 17,50,000
AI Safety Specialist Job Description

We are seeking a highly skilled AI Safety Specialist to join our team. As an AI Safety Specialist at NYUWAY, you will be responsible for designing and building large language model (LLM) guardrails to protect against prompt injection protection, toxicity/bias detection, and hallucination/jailbreak identification.

  • Key Responsibilities:
  • Design and build LLM guardrails for prompt injection protection, toxicity/bias detection, and hallucination/jailbreak identification.
  • Build and maintain evaluation frameworks to monitor LLM safety, fairness, and compliance.
  • Develop automated pipelines to process, tag, and evaluate LLM outputs using Python and SQL.
  • Leverage vector databases and embeddings to detect unsafe content or model drift.
  • Create internal dashboards and visualizations (Streamlit, Dash, or lightweight React/JS) for POCs 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, NIST AI RMF).

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, 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.

Benefits:

As a valued member of our team, you will have opportunities for growth and development, including access to cutting-edge technologies and collaboration with leading experts in the field.

Others:

Please note that this role requires strong communication and teamwork skills, as well as the ability to work effectively in a dynamic and rapidly changing environment.

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