Manager

Bangalore, Karnataka, India

INR 1200K-2000K (estimate) Mid-level Full Time

@ K...

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Found 1mo ago

Tasks

Architect secure ML infrastructure for training deploying monitoring
Automate security tasks in ML pipeline
Collaborate with Data Scientists to build secure ML applications
Conduct threat modeling for ML systems
Define and implement DevSecOps best practices for ML
Define security metrics and dashboards for ML operations
Design automated CI CD pipelines with security gates
Develop incident response plans for ML security incidents
Drive security training and awareness for AI teams
Enforce ML specific security policies and governance
Ensure secure production deployment with access control monitoring logging
Establish secure coding standards for ML pipelines
Evaluate and recommend ML security tools and technologies
Implement monitoring and logging for ML security and anomalies
Implement secure data handling with encryption anonymization and access control
Implement security controls for ML components
Manage vulnerability scanning and security testing for ML

Perks/Benefits

Skills/Tech-stack

Education

Bachelor of Science | Master of Science

Roles

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