Senior Cyber Security AI Engineer
Tasks
- Align AI enabled IAM with enterprise security standards
- Automate access provisioning and deprovisioning
- Automate access reviews and certification processes
- Automate manual IAM workflows with NLP
- Build access recommendation engines
- Design AI ML models for IAM risk scoring
- Detect anomalous identity behavior
- Ensure explainability and auditability for AI access decisions
- Evaluate IAM model performance
- Improve identity lifecycle management with AI
- Integrate AI solutions with IGA and PAM
- Maintain operational runbooks and technical documentation
- Monitor model accuracy and drift
- Perform feature engineering for IAM models
Perks/Benefits
Skills/Tech-stack
Access Control | Access Management | Access Risk | Access Risk Scoring | Amazon Web Services | Anomaly Detection | Apache Spark | Auditability | Authentication | Authorization | Azure | Data Modeling | Databricks | Deep learning | Explainable AI | Feature Engineering | Google BigQuery | Google Cloud | Governance and Administration | Identity Analytics | Identity governance | Identity governance and administration | Langchain | Language Processing | Machine Learning | Model Drift | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Privileged Access | Privileged Access Management | PyTorch | Risk scoring | SQL | Scikit-learn | Snowflake | Statistical modeling | TensorFlow | Web Services | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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