YOLO CV Engineer: Edge Deployment & Cloud

Ethereum Technologies LLC; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Ethereum Technologies LLC is seeking a skilled ML/CV engineer to advance edge-ready computer-vision models in production. You will fine-tune YOLO-based detectors, optimize for edge devices, and containerize services for scalable cloud-native deployments.

Applicants should be proficient in Docker, Kubernetes, Python, and TypeScript, with experience in publishing results to messaging systems and operating within a modern cloud architecture.

Qualifications

• Experience in computer-vision algorithms, especially YOLO-based models for object detection.
• Proficiency in fine-tuning and retraining off-the-shelf models for edge deployment.
• Familiarity with containerization, orchestration, and cloud platforms for production workloads.
• Strong Python and TypeScript skills with scalable architecture experience.

Responsibilities

• Fine-tune and retrain YOLO-based models for object detection tasks.
• Optimize models for edge deployment using quantization and distillation techniques.
• Containerize FastAPI-based services with Docker and deploy on Kubernetes in GCP.
• Publish results to message brokers and integrate with production pipelines.

Skills

YOLO-based models

ML frameworks

Python

Typescript

Edge deployment

Tools

Docker

Kubernetes

Google Cloud Platform

Job description

Ethereum Technologies LLC is seeking a skilled ML/CV engineer to advance edge-ready computer-vision models in production. You will fine-tune YOLO-based detectors, optimize for edge devices, and containerize services for scalable cloud-native deployments.

Applicants should be proficient in Docker, Kubernetes, Python, and TypeScript, with experience in publishing results to messaging systems and operating within a modern cloud architecture.