DevSecOps Engineer - Machine Learning System

Key responsibilities include :

Integrated Development and Security for ML Systems :

• Define and implement DevMLSecOps best practices, integrating security seamlessly into the ML development lifecycle
• Establish secure coding standards and guidelines specific to machine learning pipelines and model development.
• Design and implement secure and automated CI / CD pipelines for ML models, incorporating security gates and testing at each stage.
• Collaborate with Data Scientists and ML Engineers to build secure and robust ML applications and services.

Secure ML Infrastructure and Deployment :

ML Security and Vulnerability Management :

Automation, Monitoring, and Incident Response for ML Security :

Educational qualifications :

Work experience :

Skills :

ref : hirist.tech)