Principal Machine Learning Engineer
Listed on 2026-06-30
-
Engineering
AI Engineer (Applied/Software) -
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
AI Pipeline Engineer/ Principal Machine Learning Engineer - REMOTE Strategic Initiatives Team
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- 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.
- 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.
Salary range guidance for this position is: $184,000- $250,000
Bonus and Pre-IPO EquityThe salary range listed does not include other forms of compensation or benefits (e.g. bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis.
Equal Opportunity EmployerArmis 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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