Emerging MLOps Software Engineer

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

Benefits offered by this job

Employee Ownership

Family focus

Culture

Dress code

Resources

Open communication

Corporate Fellowship

Employee Appreciation

Job summary

SimVentions, Inc. is seeking a junior to mid-level software developer for the MLOps project, with a strong AI/ML background and hands-on software development experience. The role emphasizes automating model training, scalable architecture, and integration of SDKs/APIs within a security-conscious environment.

The position requires US citizenship for clearance and an interim Secret Clearance, with minimal CONUS travel. Bachelor's degree in engineering/technical field is required.

Qualifications

• Hands on experience with software development languages like Go, Python, JavaScript, and Vue.js.
• Understanding of data storage and retrieval utilizing databases, S3 storage containers and/or VAST storage environments.
• AI/ML knowledge: foundational knowledge of ML concepts, intelligent automation capabilities, and the ML model lifecycle (training, validation, deployment, monitoring).
• Understanding on the utilization of CPU and GPU for Machine Learning and Model Training.
• Experience with integrating both commercial and internally developed toolsets using SDKs and APIs.

Responsibilities

• The software developer will work within the current development environment and toolsets to expand and enhance automation capabilities within the MLOps ecosystem.
• Automate model training processes to allow efficient repeatability.
• Design architecture to scale using data and model requirements.
• Inject configuration management of the data sources and model output.

Skills

Go

Python

JavaScript

Vue.js

Databases

ML concepts

CPU/GPU for ML

SDKs/APIs

Education

Bachelor of Science (BS) in engineering/science/tech

Tools

Docker

MongoDB

PostgreSQL

Job description

SimVentions, Inc. is seeking a junior to mid-level software developer for the MLOps project, with a strong AI/ML background and hands-on software development experience. The role emphasizes automating model training, scalable architecture, and integration of SDKs/APIs within a security-conscious environment.

The position requires US citizenship for clearance and an interim Secret Clearance, with minimal CONUS travel. Bachelor's degree in engineering/technical field is required.