Principal Machine Learning Engineer

Job not on LinkedIn

🕒 June 5

🗽 New York – Remote

🗽 New York – Remote

💵 $184k - $250k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Armis

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

🔒 Cybersecurity

🏛️ Government

💰 $300M Private Equity Round on 2021-11

Cybersecurity • Healthcare • Government

Armis is a leader in cyber exposure management and security, specializing in the protection of operational technology (OT) and cyber-physical security solutions. With its platform, Armis Centrix™, the company empowers organizations to manage the entirety of their cyber risk exposure in real time, addressing critical vulnerabilities across various sectors including healthcare, financial services, manufacturing, and government. Through continuous innovation and acquisitions, such as OTORIO, Armis enhances its capability to protect a wide attack surface from sophisticated cyber threats.

📋 Description

• 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 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.

🏖️ Benefits

• Comprehensive health benefits • Discretionary time off • Paid holidays including monthly me days • Highly inclusive and diverse workplace