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
Senior Machine Learning Engineer • Topeka, Kansas, United States