Edge ML Engineer: YOLO, Kubernetes & Cloud

Artifintech; Chicago (IL); On-site; USD 120,000 - 190,000; Full time

Job summary

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC in Chicago seeks a data/ML engineer to advance computer-vision solutions. You will work on YOLO-based object detection, fine-tuning models, and deploying them in production.

Candidates should be proficient with Docker, FastAPI services, Kubernetes, and Google Cloud Platform, and comfortable coding in Python and Typescript for scalable architectures. The role includes edge deployment optimization and model quantization.

Qualifications

• Strong experience with computer-vision algorithms, especially YOLO-based object detection.
• Experience with ML frameworks and model development lifecycle.
• Proficiency in Python and Typescript for building scalable ML services.
• Comfort with deploying ML models in production environments using containerization and cloud infra.

Responsibilities

• Develop and fine-tune YOLO-based models for object detection tasks.
• Containerize FastAPI-based services with Docker and publish results to message brokers.
• Operate production-grade infrastructure using Kubernetes and Google Cloud Platform.
• Collaborate on scalable architectures using Python and Typescript.

Skills

YOLO-based models

ML frameworks

Python

Typescript

Tools

Docker

Kubernetes

Google Cloud Platform

FastAPI

Job description

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC in Chicago seeks a data/ML engineer to advance computer-vision solutions. You will work on YOLO-based object detection, fine-tuning models, and deploying them in production.

Candidates should be proficient with Docker, FastAPI services, Kubernetes, and Google Cloud Platform, and comfortable coding in Python and Typescript for scalable architectures. The role includes edge deployment optimization and model quantization.