AI Engineer
Tasks
- Analyze security tool outputs for control gaps
- Conduct bias analysis and continuous tuning
- Create visualizations for technical and non technical stakeholders
- Design machine learning models for threat detection
- Embed AI into security controls and incident response
- Engineer security data pipelines
- Maintain documentation for data sources and model deployments
- Monitor model performance and drift
- Perform feature engineering for security telemetry
- Recommend prioritized remediation actions
Perks/Benefits
- Dental insurance
- Disability insurance
- Employee assistance program
- Employee resource groups
- Employee stock purchase plan
- Life insurance
- Medical insurance
- Paid Holidays
- Paid caregiver leave
- Paid military leave
- Paid parental leave
- Retirement planning
- Time away policies
- Training and development
- Tuition assistance
- Vision insurance
Skills/Tech-stack
Access Management | Anomaly Detection | Big Data | CI/CD | Classification | Cloud Computing | Clustering | Data Drift | Data Engineering | Databricks | Endpoint Data | Event management | Feature Engineering | Fraud Detection | Hadoop | Identity and Access Management | Identity and access | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Network telemetry | Python | R | Risk scoring | SQL | Security Information | Security Information and Event | Security Information and Event Management | Spark | Statistical modeling | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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