AI Researcher "Deep Learning"

1 week ago

Malappuram, Kerala, India beBeeResearch Full time ₹ 15,00,000 - ₹ 25,00,000
AI Researcher "Deep Learning"

We are seeking a talented researcher to join our team. As an AI researcher, you will be responsible for designing and building LLM guardrails for prompt injection protection, toxicity/bias detection, and hallucination/jailbreak identification.

Main Responsibilities:
  • Design and Build LLM Guardrails: Develop and implement effective guardrails to prevent prompt injection attacks, detect toxicity and bias, and identify hallucinations and jailbreaks.
  • Evaluate Framework Development: Create and maintain evaluation frameworks to monitor the safety, fairness, and compliance of LLMs.
  • Pipeline Automation: Design and develop automated pipelines using Python and SQL to process, tag, and evaluate LLM outputs.
  • Vector Database Utilization: Leverage vector databases and embeddings to detect unsafe content or model drift.
  • Internal Dashboard Creation: Develop internal dashboards and visualizations using Streamlit, Dash, or lightweight React/JS for POCs and internal tools.
  • Collaboration with ML Engineers: Work closely with ML engineers and product teams to integrate LLM safety components into production APIs or applications.
Required Skills and Qualifications:
  • Data Science Experience: 1-3 years of experience in data science, applied ML, or LLM-based applications.
  • Programming Skills: Strong programming skills in Python and experience writing SQL for data exploration or feature engineering.
  • NLP and Deep Learning Knowledge: Solid understanding of NLP, deep learning (CNN/RNN/Transformers), and LLM architectures.
  • LLM Experience: Hands-on experience with Hugging Face, LangChain, LLM APIs (OpenAI, Anthropic), and vector stores (FAISS, Pinecone, Chroma).
  • Front-end Basics: Familiarity with front-end basics (Streamlit, Dash, or simple HTML/CSS/JS) is a plus, not mandatory.
  • Model Evaluation Experience: Experience with model evaluation, red-teaming, or safety interventions in NLP/LLM systems.

Benefits:

  • Hands-on experience with cutting-edge technologies.
  • Collaborative environment.
  • Professional growth opportunities.
What We Offer:
  • A stimulating work environment.
  • A competitive salary package.
  • Excellent benefits.

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