Junior MLOps Software Engineer – AI/ML

SimVentions, Inc - Glassdoor 4.6; Lincoln (NE); On-site; USD 79,000 - 110,000; Full time

Benefits offered by this job

Employee Ownership (ESOP)

Medical, dental, vision coverage

401(k) program with coaching

Paid time off & holidays

Educational assistance

Job summary

SimVentions, Inc. is hiring a junior to mid-level software developer for the Machine Learning Operations (MLOps) project. You will contribute to automation within the MLOps ecosystem and help automate model training to enable repeatable, scalable pipelines.

The role requires hands-on coding in Go, Python, JavaScript, and Vue.js, with knowledge of data storage, ML concepts, and SDK/API integration. Applicants should understand CPU/GPU usage for ML tasks and may need interim Secret Clearance.

Qualifications

• Bachelor's degree in engineering, science, or technical discipline required.
• Hands-on experience with GO, Python, JavaScript, and Vue.js.
• Experience with data storage using SQL databases and S3-like storage.
• Foundational knowledge of ML concepts and model lifecycle (training, deployment, monitoring).
• Familiarity with CPU/GPU usage for ML tasks.
• Experience integrating SDKs and APIs with software toolchains.

Responsibilities

• Expand and automate automation within the MLOps ecosystem.
• Automate model training processes for repeatable workflows.
• Design architecture to scale data sources and model outputs.
• Implement configuration management for data and models.

Skills

Go

Python

JavaScript

Vue.js

AI/ML basics

ML lifecycle

CPU/GPU for ML

SDKs & APIs

Education

Bachelor's degree in engineering/science/technical

Tools

Docker

MongoDB

PostgreSQL

SQL

S3 storage

Job description

SimVentions, Inc. is hiring a junior to mid-level software developer for the Machine Learning Operations (MLOps) project. You will contribute to automation within the MLOps ecosystem and help automate model training to enable repeatable, scalable pipelines.

The role requires hands-on coding in Go, Python, JavaScript, and Vue.js, with knowledge of data storage, ML concepts, and SDK/API integration. Applicants should understand CPU/GPU usage for ML tasks and may need interim Secret Clearance.