Principal Machine Learning Engineer

Armis Security•New York, NY

1d•$184,000 - $250,000•Remote

About The Position

Armis is seeking a talented and motivated AI Pipeline Engineer to join our Strategic Initiatives team. Reporting to the Sr. Director of Engineering, this role will be instrumental in developing and optimizing our AI infrastructure. Armis, the cyber exposure management & security company, protects the entire attack surface and manages an organization’s cyber risk exposure in real time. In a rapidly evolving, perimeter-less world, Armis ensures that organizations continuously see, protect and manage all critical assets - from the ground to the cloud. Armis secures Fortune 100, 200 and 500 companies as well as national governments, state and local entities to help keep critical infrastructure, economies and society stay safe and secure 24/7. Armis is a privately held company headquartered in California.

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.

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.