Description

You will own the development and deployment of computer-vision algorithms, specifically YOLO-based object detection models. This involves fine-tuning, retraining, and optimizing models for edge deployment using quantization and distillation techniques.

This role is on-site.

Responsibilities

• Fine-tune and retrain off-the-shelf YOLO models for object detection tasks.
• Optimize models for edge deployment using quantization and distillation.
• Containerize FastAPI-based web services using Docker and publish results to message brokers.
• Operate production architecture on Google Cloud Platform using Kubernetes.

Required Skills

• Strong experience with computer-vision algorithms, primarily YOLO-based models.
• Proficiency in Docker for containerization.
• Familiarity with Kubernetes and Google Cloud Platform.
• Experience with Python and Typescript.
• Understanding of scalable architectures.

Preferred Skills

• Experience with FastAPI.

Key Skills

Education

Any Graduate