Description

You will optimize and deploy computer vision models for edge devices, owning the full lifecycle from model fine-tuning to production service.

This role is on-site.

Responsibilities

• Fine-tune and retrain YOLO-based models for object detection tasks.
• Apply quantization and distillation techniques to optimize model performance for edge deployment.
• Containerize FastAPI-based web services using Docker and publish inference results to message brokers.
• Operate and maintain production architecture using Kubernetes and Google Cloud Platform.
• Develop scalable backend components using Python and Typescript.

Required Skills

• Strong experience with computer vision algorithms, specifically YOLO-based models.
• Proficiency in Python and Typescript.
• Experience with ML frameworks for model training and optimization.
• Docker proficiency for containerizing web services.
• Familiarity with Kubernetes and Google Cloud Platform (GCP).
• Understanding of FastAPI and scalable architecture patterns.

Preferred Skills

• Experience with message brokers for result publishing.
• Background in edge deployment constraints.

Key Skills

Education

Any Graduate