Remote PyTorch Software Engineer - Deep Learning

BairesDev; Distrito Capital; A distancia; VES 67.397.000 - 101.095.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

USD salary

Hardware provided

Flexible hours

Paid leave

Mentorship and growth

Descripción de la vacante

BairesDev, a global software company, is seeking a Software Engineer specializing in PyTorch. You will build deep learning models and robust training pipelines to power advanced AI solutions, optimizing execution for production environments.

You’ll design architectures, optimize performance with CUDA, and collaborate with data scientists to translate research into production-ready software. This remote role offers international opportunities and competitive USD compensation.

Formación

• 4+ years of experience in Software Engineering, ML Engineering, or Data Science.
• Proven expertise in developing deep learning models and training pipelines using PyTorch.
• Proficiency in optimizing model performance using CUDA and GPU acceleration.
• Hands-on experience with core deep learning architectures and model training best practices.
• Deep understanding of systems programming and PyTorch internals or custom extensions.

Responsabilidades

• Design and implement deep learning architectures and training workflows using PyTorch.
• Optimize model performance and training efficiency by leveraging CUDA and GPU acceleration.
• Develop and maintain scalable data pipelines for model training, evaluation, and deployment.
• Troubleshoot and refine complex model behaviors to ensure accuracy and reliability.
• Stay current with the PyTorch ecosystem to implement custom extensions or contribute to framework internals.
• Collaborate with data scientists to translate theoretical research into production-ready software.

Conocimientos

PyTorch

CUDA

Deep learning

GPU acceleration

English

Herramientas

CUDA Toolkit

Descripción del empleo

BairesDev, a global software company, is seeking a Software Engineer specializing in PyTorch. You will build deep learning models and robust training pipelines to power advanced AI solutions, optimizing execution for production environments.

You’ll design architectures, optimize performance with CUDA, and collaborate with data scientists to translate research into production-ready software. This remote role offers international opportunities and competitive USD compensation.