ML-Ops & DevOps Platform Engineer for 5G AI/Edge

DeepSig, Inc.; Arlington (VA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

DeepSig is seeking an experienced DevOps Engineer to collaborate with engineering and QA teams to automate and optimize software and ML model development and validation. The role focuses on CI/CD, data storage, compute resources (CPU/GPU), and job orchestration for on-site and hybrid environments in Arlington, VA.

Qualified candidates will have hands-on experience with AWS, GitLab, MinIO, Nexus, Conan, PyPI, Docker, Slurm, MLFlow, Optuna, Prometheus, Grafana, Terraform, and strong scripting

Qualifications

• Hands-on experience developing, deploying and managing source code repositories, CI/CD infra, artifact and package storage, and compute infrastructure.
• Experience with AWS, GitLab, MinIO, Nexus, Conan, PyPI, Docker, Slurm, MLFlow, Optuna, Prometheus, Grafana, Terraform.
• Experience with Ubuntu/Debian Linux, containerization, virtualization, backup solutions, and automation with scripting (Bash, Python).
• Experience in networking, firewall, VLAN and network configuration tools.

Responsibilities

• Architect infrastructure to support internal engineering/QA, commercial and DoD partners; plan on-premise and cloud extensions; include CI/CD, storage, compute, and job orchestration.
• Manage full lifecycle of production systems from development to deployment and operation, provisioning hardware as needed.
• Optimize CI/CD and compute infrastructure utilization in collaboration with engineering and QA teams; address performance bottlenecks.

Skills

CI/CD

AWS

GitLab

Python

Bash

Linux - Ubuntu/Debian

Networking

MLFlow

Prometheus

Grafana

Tools

MinIO

Nexus

Conan

PyPI

Docker

Slurm

Terraform

Job description

DeepSig is seeking an experienced DevOps Engineer to collaborate with engineering and QA teams to automate and optimize software and ML model development and validation. The role focuses on CI/CD, data storage, compute resources (CPU/GPU), and job orchestration for on-site and hybrid environments in Arlington, VA.

Qualified candidates will have hands-on experience with AWS, GitLab, MinIO, Nexus, Conan, PyPI, Docker, Slurm, MLFlow, Optuna, Prometheus, Grafana, Terraform, and strong scripting