# Principal Machine Learning Engineer

**Company:** [Armis](https://hotfix.jobs/companies/armis)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $184k – $250k/yr
**Experience:** 7+ years
**Skills:** Python, AWS, Azure, GCP, Docker, Kubernetes, Machine Learning, Data Processing, Ai Pipelines, MLOps
**Posted:** 2026-06-05

> Build and optimize AI/ML pipelines for data processing, model training, and deployment. Collaborate with data scientists to implement scalable AI solutions on cloud infrastructure.

## Job Description

## 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.

## Compensation
- Salary range: $184,000 - $250,000
- Bonus and Pre-IPO Equity

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**Apply:** https://hotfix.jobs/jobs/a7f7027f-48b5-4dc8-a368-7c735e7f557f
**Canonical:** https://hotfix.jobs/jobs/a7f7027f-48b5-4dc8-a368-7c735e7f557f