
Lead AI Safety Specialist
7 days ago
Key Responsibilities:
- Prompt Injection Protection: Develop safety protocols to prevent malicious input, detect harmful content and identify vulnerabilities in AI models.
- AI Safety Evaluation: Create automated pipelines using Python and SQL to process, evaluate and improve AI model outputs.
- Model Drift Detection: Use machine learning techniques and vector databases to detect anomalies and drift in AI model performance.
- Collaboration with ML Engineers: Work closely with ML engineers and product teams to integrate AI safety components into production APIs or applications.
Required Qualifications:
- Experience in AI/ML: 1-3 years of experience in artificial intelligence, machine learning or related fields.
- Programming Skills: Strong programming skills in Python and experience writing SQL for data exploration or feature engineering.
- NLP and Deep Learning: Solid understanding of natural language processing, deep learning architectures and AI model development.
- Hands-on Experience with Hugging Face and LLM APIs: Hands-on experience with Hugging Face, LangChain, LLM APIs and vector stores.
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