Description

Own the lifecycle of computer-vision models, from fine-tuning YOLO-based architectures to deploying optimized solutions on edge devices.

This role is on-site.

Responsibilities

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

Required Skills

• Strong experience with computer-vision algorithms, specifically YOLO-based models.
• Proficiency in Python and Typescript for scalable architecture development.
• Hands-on experience with Docker for containerizing services.
• Working knowledge of Kubernetes for orchestration and management.
• Experience deploying and managing services on Google Cloud Platform (GCP).
• Minimum 10 years of professional engineering experience.

Key Skills

Education

Any Graduate