Opportunity Description
Job Description
Analyze large-scale structured and unstructured datasets to identify trends, anomalies, risks, and opportunities in security and AI-powered tools.
Build, curate, and maintain datasets; ensure data integrity across multiple sources for testing and model development.
Develop, optimize, and test machine learning models (predictive, generative, NLP) and support MLOps workflows for deployment, monitoring, and integration into IAM systems.
Partner with data scientists to productionize AI/ML models for risk-based access control, anomaly detection, and identity analytics.
Design and implement quantitative metrics, dashboards, and visualizations to communicate insights and track key performance indicators (KPIs).
Monitor log and telemetry data to proactively detect potential harms, threats, and misconfigurations.
Build and deploy containerized applications using Kubernetes, Docker, Terraform, and modern CI/CD practices.
Write clean, maintainable, and effi...
Analyze large-scale structured and unstructured datasets to identify trends, anomalies, risks, and opportunities in security and AI-powered tools.
Build, curate, and maintain datasets; ensure data integrity across multiple sources for testing and model development.
Develop, optimize, and test machine learning models (predictive, generative, NLP) and support MLOps workflows for deployment, monitoring, and integration into IAM systems.
Partner with data scientists to productionize AI/ML models for risk-based access control, anomaly detection, and identity analytics.
Design and implement quantitative metrics, dashboards, and visualizations to communicate insights and track key performance indicators (KPIs).
Monitor log and telemetry data to proactively detect potential harms, threats, and misconfigurations.
Build and deploy containerized applications using Kubernetes, Docker, Terraform, and modern CI/CD practices.
Write clean, maintainable, and effi...