Principal Machine Learning Engineer

Armis, the cyber exposure management & security company, protects the entire attack surface and manages an organization’s cyber risk exposure in real time. They are seeking a talented AI Pipeline Engineer to develop and optimize their AI infrastructure, collaborating with data scientists and engineers to implement cutting-edge AI solutions.

Responsibilities:

• Design, build, and maintain robust AI pipelines for data processing, model training, and deployment
• Collaborate with data scientists and engineers to implement cutting-edge AI solutions
• Optimize existing AI infrastructure for performance, scalability, and reliability
• Troubleshoot and resolve issues in the AI pipeline environment
• Document and maintain best practices for AI pipeline development and deployment
• Develop and implement Minimum Viable Product (MVP) code for AI initiatives
• Collaborate with other engineers to transition MVP code to production-ready systems

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience
• Proven experience in building and managing AI/ML pipelines
• Proficiency in Python and other relevant programming languages
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
• Strong understanding of data processing and machine learning concepts