Junior MLOps Software Developer

SimVentions, Inc - Glassdoor 4.6; Salt Lake City (UT); On-site; USD 79,000 - 110,000; Full time

Benefits offered by this job

Employee Ownership (ESOP)

Competitive 401(k)

Education assistance

Paid time off & holidays

Health/welfare plans

Job summary

SimVentions is seeking a junior to mid-level software developer for the Machine Learning Operations (MLOps) project in the United States. A solid foundation in AI/ML and experience with languages like Go, Python, JavaScript, and Vue.js are preferred.

The role requires a security clearance and ongoing development within a team of technically exceptional experts. The position involves expanding automation in the MLOps ecosystem, automating model training workflows, and designing scalable

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: entry-level understanding of ML concepts, model lifecycle, and deployment basics.

Responsibilities

• Expand and enhance automation capabilities within the MLOPS ecosystem.
• Automate model training processes to enable repeatability and scalable design.
• Design data/model architecture with configuration management for sources and outputs.

Skills

Go

Python

JavaScript

Vue.js

AI/ML knowledge

Model lifecycle

Education

Bachelor's degree in engineering/science/technical discipline

Tools

MongoDB

PostgreSQL

SQL

Docker

S3 storage

APIs/SDKs

Job description

SimVentions is seeking a junior to mid-level software developer for the Machine Learning Operations (MLOps) project in the United States. A solid foundation in AI/ML and experience with languages like Go, Python, JavaScript, and Vue.js are preferred.

The role requires a security clearance and ongoing development within a team of technically exceptional experts. The position involves expanding automation in the MLOps ecosystem, automating model training workflows, and designing scalable