Junior MLOps Engineer — AI/ML, Docker, ESOP

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

Benefits offered by this job

Employee Ownership

Family Focus

Culture of Excellence

Dress Code: Business Casual

Training Opportunities

Paid Time Off

Job summary

SimVentions, Inc. is seeking a junior to mid-level software developer for the Machine Learning Operations (MLOps) project in Tulsa, OK. The candidate will apply AI/ML fundamentals and hands-on software development to automate training, manage data sources, and scale ML workflows.

The role requires interim Secret Clearance and US citizenship; travel is minimal within CONUS. Strong knowledge of Go, Python, JavaScript, Vue.js, and databases (MongoDB, PostgreSQL) is preferred.

Qualifications

• Hands-on experience with Go, Python, JavaScript and Vue.js in development roles.
• Knowledge of data storage and retrieval using databases, S3/VAST storage environments.
• AI/ML foundational concepts and ML model lifecycle (training, validation, deployment, monitoring).

Responsibilities

• Expand and enhance automation capabilities within the MLOps ecosystem in the existing development environment.
• Automate model training processes to enable repeatable, efficient workflows.
• Design architecture to scale data sources and model outputs; inject configuration management.

Skills

Go

Python

JavaScript

Vue.js

AI/ML concepts

ML model lifecycle

CPU/GPU for ML

Education

Bachelor of Science in engineering/science/technical field

Tools

MongoDB

PostgreSQL

Docker

Job description

SimVentions, Inc. is seeking a junior to mid-level software developer for the Machine Learning Operations (MLOps) project in Tulsa, OK. The candidate will apply AI/ML fundamentals and hands-on software development to automate training, manage data sources, and scale ML workflows.

The role requires interim Secret Clearance and US citizenship; travel is minimal within CONUS. Strong knowledge of Go, Python, JavaScript, Vue.js, and databases (MongoDB, PostgreSQL) is preferred.