DevOps Engineer

AutoPhotoAI; San Francisco; Presencial; VES 101.695.000 - 127.119.000; Jornada completa

Descripción de la vacante

AutoPhotoAI is looking for a researcher to build and optimize computer vision models for product image analysis, background removal, and automated tagging. You will work with PyTorch, TensorFlow, and scale inference pipelines to production readiness.

The ideal candidate has a PhD or MS in CS/ML, 3+ years in deep learning, and strong Python/CUDA skills. This role involves developing end-to-end CV solutions and deploying them at scale.

Formación

• PhD or MS in computer science, ML, or related field.
• 3+ years of experience with deep learning frameworks.
• Experience with computer vision and image processing.
• Proficiency in Python, CUDA, and distributed training.

Responsabilidades

• Build and optimize computer vision models for image analysis, background removal, and tagging.
• Develop and maintain large-scale inference pipelines.
• Collaborate on model optimization and deployment strategies.

Conocimientos

Python

Deep learning

Computer vision

Image processing

CUDA

Distributed training

Educación

PhD/MS in Computer Science, ML, or related field

Herramientas

PyTorch

TensorFlow

CUDA

Distributed training

Descripción del empleo

Build and optimize computer vision models for product image analysis, background removal, and automated tagging. Work with PyTorch, TensorFlow, and large-scale inference pipelines.

Requirements

• PhD/MS in Computer Science, ML, or related field
• 3+ years experience with deep learning frameworks
• Experience with computer vision and image processing
• Proficiency in Python, CUDA, and distributed training
• Experience with model optimization and deployment