Vision AI Engineer – YOLO/Edge ML, Kubernetes & Cloud

Quantum Technologies. LLC; Chicago, Northern (IL, KY); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Quantum Technologies LLC is seeking an experienced ML engineer focused on computer vision using YOLO-based models to develop, fine-tune, and optimize detectors for edge deployment within a production architecture. The role emphasizes containerized FastAPI services and scalable Python/TypeScript software stacks.

The candidate should be proficient with Docker, Kubernetes, and Google Cloud Platform, and have experience in deploying ML workflows from model training to serving in production.

Qualifications

• Strong experience in computer-vision algorithms—YOLO-based models for object detection tasks.
• Fine-tuning and retraining off-the-shelf models; quantization and distillation for edge deployment.
• Proficient in Docker for containerizing FastAPI-based web services and publishing results to message brokers.
• Familiarity with Kubernetes and Google Cloud Platform in production architecture.
• Experience in Python, TypeScript, and scalable architectures is preferred.

Skills

YOLO-based models

ML frameworks

Docker

Kubernetes

Google Cloud Platform

Python

TypeScript

Edge deployment

Model fine-tuning

Tools

FastAPI

Google Cloud Platform

Job description

Quantum Technologies LLC is seeking an experienced ML engineer focused on computer vision using YOLO-based models to develop, fine-tune, and optimize detectors for edge deployment within a production architecture. The role emphasizes containerized FastAPI services and scalable Python/TypeScript software stacks.

The candidate should be proficient with Docker, Kubernetes, and Google Cloud Platform, and have experience in deploying ML workflows from model training to serving in production.