Solutions Engineer — AI & Data Science Specialist
Tasks
- Analyze AI runtime security proof of concept results
- Create internal guidance and playbooks
- Define risk thresholds and success criteria
- Deliver customer workshops on AI testing methodology
- Diagnose false positives and false negatives
- Explain AI model behavior to non data scientists
- Provide escalation for complex AI behavior questions
- Refine prompts and policies with customers
- Support late stage evaluations and technical deep dives
- Translate model behavior into risk and compliance narratives
- Validate scanner performance and model behavior
Perks/Benefits
- N/A
Skills/Tech-stack
Data leakage | Evaluation metrics | False Negative | False Negative Analysis | False Positive | False positive analysis | Jailbreaks | Language Models | Large Language Models | Model Testing | Model misuse | Prompt engineering | Prompt evaluation | Prompt injection | Python | Risk Thresholding
Education
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