AI-ML Engineer MCP-Agentic
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The role
Design and implement security controls for AI/ML systems hosted on-premises, including model training, inference, and data pipelines.
Implement multi-agent orchestration for autonomous decision-making and task delegation.
Develop ML models for threat detection, anomaly detection, and behavioral analysis.
Define and enforce AI observability, monitoring, and MLOps practices for on-prem deployments.
Integrate AI tools into existing on-prem security workflows and incident response systems.
Collaborate with cross-functional teams to align technical designs with business needs and ensure secure, scalable deployments.
Implement multi-agent orchestration for autonomous decision-making and task delegation.
Develop ML models for threat detection, anomaly detection, and behavioral analysis.
Define and enforce AI observability, monitoring, and MLOps practices for on-prem deployments.
Integrate AI tools into existing on-prem security workflows and incident response systems.
Collaborate with cross-functional teams to align technical designs with business needs and ensure secure, scalable deployments.
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