Senior Machine Learning Security Engineer

Job Summary

A company is looking for a Senior MLSecOps Engineer.

Key Responsibilities

• Design, implement, and maintain secure ML pipelines for model evaluation and deployment
• Assess and mitigate security risks throughout the ML lifecycle and monitor data storage systems
• Collaborate with teams to drive adoption of secure ML practices and optimize deployment strategies

Required Qualifications

• Bachelor's degree in computer science, Information/Cyber Security, or equivalent experience
• Eight years or more experience in IT or cybersecurity roles, with five years in software engineering
• Deep knowledge of AI/ML Security and related risks
• Experience with MLOps pipelines and model deployment tools
• Familiarity with CI/CD pipelines and various programming languages such as Python