Description

You will optimize and deploy computer vision models for edge devices.

This role is on-site.

Responsibilities

• Fine-tune and retrain YOLO-based object detection models.
• Apply quantization and distillation techniques to optimize model performance.
• Containerize FastAPI web services using Docker.
• Deploy and manage services within a Kubernetes and GCP production architecture.

Required Skills

• 10+ years of experience in data science or ML engineering.
• Strong proficiency in Python and Typescript.
• Hands-on experience with YOLO-based models and ML frameworks.
• Proficient in Docker for containerization.
• Experience with Kubernetes and Google Cloud Platform.
• Familiarity with scalable architectures and message brokers.

Preferred Skills

• Experience with FastAPI development.

Key Skills

Education

Any Graduate