Junior MLOps Software Engineer (AI/ML)

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

Benefits offered by this job

Employee Ownership

Family focus

Culture of technical excellence

Dress code: Business casual

Training opportunities

Open communication

Employee Appreciation

Job summary

SimVentions, Inc is seeking a junior to mid-level software developer to join the Machine Learning Operations (MLOps) project. The role requires a foundation in AI/ML and experience with languages like Go, Python, JavaScript, and Vue.js.

Applicants must be US citizens eligible for an interim Secret clearance and possess related software development experience. The position involves expanding automation in MLOps, automating model training for repeatability, and designing scalable architectures

Qualifications

• BS degree in engineering, science, or a technical discipline is required.
• Hands-on experience with Go, Python, JavaScript, and Vue.js.
• Knowledge of data storage and retrieval including databases and S3/VAST storage.
• Entry-level ML knowledge and understanding of ML model lifecycle (training, validation, deployment, monitoring).
• Understanding of CPU/GPU usage for ML and model training.
• Experience integrating SDKs and APIs with software tools.

Responsibilities

• Automate and extend automation within the MLOps ecosystem.
• Automate model training processes for repeatability.
• Design scalable architecture based on data and model requirements.
• Implement configuration management for data sources and model outputs.

Skills

Go

Python

JavaScript

Vue.js

ML concepts

CPU/GPU for ML

Education

BS degree in engineering/science/technical discipline

Tools

Docker

MongoDB

PostgreSQL

SQL

Job description

SimVentions, Inc is seeking a junior to mid-level software developer to join the Machine Learning Operations (MLOps) project. The role requires a foundation in AI/ML and experience with languages like Go, Python, JavaScript, and Vue.js.

Applicants must be US citizens eligible for an interim Secret clearance and possess related software development experience. The position involves expanding automation in MLOps, automating model training for repeatability, and designing scalable architectures