A/AI Machine Learning Engineering Stf - E4
Tasks
- Assess AI governance and compliance
- Assess data and supply chain risk
- Build automated testing tactics for AI lifecycle
- Collaborate cross functional teams to build secure systems
- Define red teaming methodologies and best practices
- Design plan perform red team assessments
- Develop integrate deploy AI algorithms
- Evaluate AI model risks
- Stay current on emerging AI threats
- Troubleshoot debug AI system issues
Perks/Benefits
- 401k match
- Dental insurance
- EAP
- Education assistance
- Employee assistance program
- Flexible schedule
- Flexible spending accounts
- Flexible work arrangements
- Health insurance
- Holidays
- Life insurance
- Long-term disability
- Mentorship
- Paid time off
- Parental leave
- Short-term disability
- Vision insurance
Skills/Tech-stack
AI | AI RMF | Adversarial Machine Learning | Automation Testing | C# | C++ | Data Engineering | Data leakage | LLM | LLM Prompt | LLM Prompt Injection | LLMOps | Linux | MITRE ATLAS | MLOps | Machine Learning | Model Leakage | NIST AI | NIST AI RMF | Prompt injection | PyTorch | Python | Reverse Engineering | Risk Identification | Robustness Testing | Scikit-learn | Secure Data | Secure Data Engineering | Security Testing | TensorFlow | Vulnerability analysis
Education
Regions
Countries
States
Cities
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