ML-Ops/DevOps Engineer for AI-Driven 5G RAN

OpenTalent; Arlington (VA); Hybrid; USD 120,000 - 190,000; Full time

Job summary

DeepSig is defining the future of wireless by merging deep learning with the Radio Access Network. We seek an experienced DevOps Engineer to automate and optimize software and ML model development and validation, supporting product lines, web apps, and 5G/FutureG initiatives.

You will expand DevOps capabilities, researching, designing, provisioning, maintaining, and optimizing systems across on-premise and cloud infrastructure, including CI/CD, storage, and compute resources, with a focus on

Qualifications

• Hands-on experience deploying and managing source code repositories, CI/CD infra, artifact storage, and compute resources with tools like AWS, GitLab, MinIO, Nexus, Conan, PyPI, Docker, Slurm, MLFlow, Optuna, Prometheus, Grafana, Terraform.

Responsibilities

• Architect infrastructure to support internal engineering/QA and DoD partners, including CI/CD, storage, compute, and job orchestration.
• Manage production systems lifecycle from development to deployment and maintenance, procuring and provisioning hardware as needed.
• Optimize CI/CD and compute usage in collaboration with engineering and QA teams, addressing bottlenecks.

Skills

AWS

GitLab

MinIO

Nexus

Conan

PyPI

Docker

Slurm

MLFlow

Optuna

Prometheus

Grafana

Terraform

BASH

Python

Networking

VLAN

Firewall

Hardware provisioning

Tools

Ubuntu/Debian Linux

Job description

DeepSig is defining the future of wireless by merging deep learning with the Radio Access Network. We seek an experienced DevOps Engineer to automate and optimize software and ML model development and validation, supporting product lines, web apps, and 5G/FutureG initiatives.

You will expand DevOps capabilities, researching, designing, provisioning, maintaining, and optimizing systems across on-premise and cloud infrastructure, including CI/CD, storage, and compute resources, with a focus on