Junior MLOps Software Engineer — AI/ML & Automation

SimVentions, Inc - Glassdoor 4.6; Jersey City (NJ); On-site; USD 79,000 - 110,000; Full time

Benefits offered by this job

ESOP

401(k)

Health coverage

Job summary

SimVentions is seeking a junior to mid-level software developer for the Machine Learning Operations (MLOps) project. The ideal candidate will have a strong foundation in Artificial Intelligence (AI) / Machine Learning (ML) and large language models (LLMs) with some software development experience.

The software developer will work to expand automation within the MLOPS ecosystem, automate model training processes for repeatability, and design architectures to scale data and model outputs while

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/foundational 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

• Expand and enhance automation within the MLOps ecosystem using current development tools.
• Automate model training processes for repeatability and efficiency.
• Design architecture to scale data sources and model outputs; inject configuration management for data and results.

Skills

ML concepts

AI/LLMs

Model lifecycle

CPU/GPU ML

Education

Bachelor's degree in Engineering/CS/related

Tools

Go

Python

JavaScript

Vue.js

Docker

MongoDB

PostgreSQL

S3 storage

APIs

Job description

SimVentions is seeking a junior to mid-level software developer for the Machine Learning Operations (MLOps) project. The ideal candidate will have a strong foundation in Artificial Intelligence (AI) / Machine Learning (ML) and large language models (LLMs) with some software development experience.

The software developer will work to expand automation within the MLOPS ecosystem, automate model training processes for repeatability, and design architectures to scale data and model outputs while