Senior Data Professional

2 days ago

Vadodara, Gujarat, India beBeeData Full time ₹ 15,00,000 - ₹ 30,00,000

About This Opportunity

We are seeking a highly skilled data professional to join our team. The successful candidate will be responsible for designing and building LLM guardrails for 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.
  • 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 large language model-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 large language model 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 machine learning pipelines in production (Docker, FastAPI) and ability to thrive in a fast-paced startup environment.

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