Senior Cyber Security IAM AI Engineer
Tasks
- Automate IAM workflows using machine learning and natural language processing
- Build AI enabled identity analytics
- Create data models and feature engineering for IAM use cases
- Design and develop AI ML models for IAM access risk scoring
- Detect anomalous behavior for identity access
- Develop operational runbooks and technical documentation
- Evaluate AI model performance accuracy and drift
- Implement access recommendation engines
- Improve identity lifecycle provisioning deprovisioning and access reviews
- Integrate AI solutions with IGA PAM and authentication platforms
- Perform security issue analysis to mitigate risk
- Provide AI explainability auditability and governance
- Research emerging AI and cybersecurity technologies and recommend improvements
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Access Management | Access Risk | Access Risk Scoring | Anomaly Detection | Apache Spark | Audit Logging | Authentication | Authorization | Data Modeling | Databricks | Deep learning | Feature Engineering | Google BigQuery | Google Cloud | Governance and Administration | Identity and Access Management | Identity and access | Identity governance | Identity governance and administration | Langchain | Language Processing | Machine Learning | Microsoft Azure | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Privileged Access | Privileged Access Management | PyTorch | Risk scoring | Risk-Based Access Control | Risk-based | Risk-based Access | SQL | Scikit-learn | Snowflake | TensorFlow | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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