Senior ML DevOps Engineer for Edge AI Platforms

Arm; Seattle (WA); Hybrid; USD 171,000 - 231,000; Full time

Job summary

Arm is hiring a Senior Machine Learning DevOps Engineer to design and build the ML DevOps infrastructure for production-grade deployment of data, models, and software on Edge AI solutions. You will join a multi-functional team to automate development and operations for efficient AI deliveries.

In this role you will coordinate end-to-end ML pipelines, define secure code practices, and implement repository strategies while leveraging CI/CD and containerization to deploy models to production across

Qualifications

• Proficiency with Git, AWS or Azure, and IaC tools like Terraform, Ansible, or Packer.
• Experience building and maintaining CI/CD infrastructure (Jenkins, GitLab CI, GitHub Actions).
• Strong programming/scripting skills in Python/C/C++, Linux and container tech (Docker, Kubernetes).

Responsibilities

• Coordinate the definition of workflows for Edge AI application development and build an end-to-end machine learning pipeline.
• Define secure code practices and implement a repository management strategy for proprietary or open-source software.
• Use continuous integration / continuous deployment and containerization techniques to deploy Machine Learning models to production.
• Collaborate with application and platform developers, data scientists and ML engineers to identify tooling and automation needs and subsequent solutions.
• Identify relevant metrics for DevOps and MLOps practices and use supervision tools to safeguard development efficiency and an operation performance.

Skills

Git

AWS

Azure

Terraform

Ansible

Packer

Python

C

C++

Linux

Docker

Kubernetes

Education

Degree in CS/ Electronics or related field

Tools

Jenkins

GitLab CI

GitHub Actions

Prometheus

Grafana

ElasticSearch

Kibana

Job description

Arm is hiring a Senior Machine Learning DevOps Engineer to design and build the ML DevOps infrastructure for production-grade deployment of data, models, and software on Edge AI solutions. You will join a multi-functional team to automate development and operations for efficient AI deliveries.

In this role you will coordinate end-to-end ML pipelines, define secure code practices, and implement repository strategies while leveraging CI/CD and containerization to deploy models to production across