Principal Machine Learning Engineer

North AmericaRemotelead

Machine Learning EngineerData

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Quick Summary

Key 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.

Requirements Summary

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.

Technical Tools

Machine Learning EngineerData

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.

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.

Responsibilities

~1 min read

→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

~1 min read

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.

Nice to Have

~1 min read

The salary range listed does not include other forms of compensation or benefits (e.g. i.e. bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis.

The choices you make in your career journey matter. You want to do interesting work in an important field while also having time to live your life, which is why we place so much value in your life-work balance. Armis sets you up for success with comprehensive health benefits, discretionary time off, paid holidays including monthly me days, and a highly inclusive and diverse workplace. Put your unique experiences and perspective to work in an environment where they will enable you to thrive, grow, and live your life with integrity.

Armis is proud to be an equal opportunity employer. We never discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected (or not) status. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization.

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