Principal AI/ML Engineer (Cybersecurity & AIOps)
Tasks
- Architect end-to-end ML pipelines
- Build and operationalize machine learning models for anomaly detection predictive analytics and classification
- Collaborate with cybersecurity network engineering and IAM teams
- Implement generative AI and agentic AI solutions for automation and threat intelligence
- Ingest preprocess engineer features and tune models for production readiness
- Lead AI ML solution design and deployment for cybersecurity and network analytics
- Translate technical outcomes into business insights using dashboards and visualizations
Perks/Benefits
- Adoption and surrogacy expense reimbursement
- Employee community service time
- Employee resource groups
- Fertility treatments
- Flexible family care days
- Medical Dental Vision Prescription Coverage
- Paid Holidays
- Paid parental leave
- Paid time off
- Subsidized back-up child care
- Tuition assistance
- Vehicle discount program
Skills/Tech-stack
AWS | Access Management | Agentic AI | Agile | Anomaly Detection | Azure | Classification | Cybersecurity | Data Ingestion | Data Preprocessing | Feature Engineering | Generative AI | Google Cloud | Identity and Access Management | Identity and access | Jira | ML pipelines | MLOps | Machine Learning | Model Deployment | Model Tuning | Network Analytics | Network Architecture | Power BI | Predictive Analytics | Python | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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