AI Engineer
Tasks
- Analyze security tool outputs for control gaps
- Build and deploy security data pipelines
- Design machine learning models for threat detection
- Develop visualizations for risk scenarios
- Embed AI analytics into security controls and playbooks
- Engineer features from security telemetry
- Evaluate model performance and tune models
- Maintain documentation for data sources and model deployment
Perks/Benefits
- Employee assistance program
- Employee resource groups
- Employee stock purchase plan
- Living proof program points for rewards
- Medical, dental, vision, life, and disability insurance
- Paid Holidays
- Paid caregiver leave
- Paid military leave
- Paid parental leave
- Retirement planning
- Training and development
- Tuition assistance
- Tuition reimbursement
Skills/Tech-stack
Anomaly Detection | Bias analysis | Big Data | CI/CD | Cloud analytics | Data Cleansing | Data Ingestion | Data Pipelines | Databricks | Drift analysis | Feature Engineering | Fraud Detection | Hadoop | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Python | R | Risk scoring | SQL | Spark | 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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