Senior Machine Learning Security Engineer

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