Consultant — AI Strategy, Governance & Security
Tasks
- Apply model evaluation techniques
- Build AI governance frameworks
- Build Python proof of concept tools
- Conduct AI governance assessments
- Create AI maturity assessments
- Demonstrate prompt injection
- Develop AI risk registers
- Develop implementation roadmaps
- Develop reusable assessment tools
- Draft policy recommendations
- Evaluate and test AI platforms
- Experiment with agentic frameworks
- Facilitate stakeholder workshops
- Identify governance gaps
- Implement RAG architectures
- Map controls to regulations
- Monitor regulatory standards
- Perform security reviews of AI systems
- Prepare executive briefings
- Prepare technical briefings
- Research agentic AI risks
- Translate technical concepts for executives
Perks/Benefits
Skills/Tech-stack
AI Act | AI RMF | AI Risk | AI risk management | Agentic AI | Attention | Autogen | Bias Variance | Bias-Variance Tradeoff | CrewAI | Cybersecurity | EU AI | EU AI Act | Embeddings | Fine Tuning | ISO 27001 | ISO/IEC | ISO/IEC 42001 | Jupyter | LLM | LLM Top 10 | Langchain | Langgraph | MCP | MITRE ATLAS | Machine Learning | Model Context Protocol | Model Evaluation | NIST AI | NIST AI RMF | NIST CSF | OWASP LLM | OWASP LLM Top 10 | Overfitting | Pandas | Prompt engineering | Python | RAG | Risk Assessment | Risk Management | Scikit-learn | Security Risk | Security risk assessment | Tokenization | Top 10
Education
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