Remote PyTorch ML Engineer — Production AI

BairesDev; Mexico; On-site; PHP 7,299,000 - 10,949,000; Full time

Benefits offered by this job

Remote work

Competitive salary

Home office setup

Flexible hours

Parental leave of absence

Job summary

BairesDev is seeking a Software Engineer (PyTorch) to build and optimize deep learning models for production-grade AI solutions. You will design architectures, train pipelines, and collaborate with global teams to translate research into scalable software.

This 100% remote role offers competitive USD compensation, a flexible schedule, and a supportive, multicultural environment that values growth, mentorship, and continual learning.

Qualifications

• 4+ years in software or ML engineering.
• Proven PyTorch model development and training experience.
• CUDA/GPU acceleration expertise.
• Experience with core DL architectures and training best practices.
• Strong systems programming knowledge and PyTorch internals.
• Advanced English proficiency.

Responsibilities

• 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.

Skills

PyTorch

CUDA

Deep learning

Model training

English

Tools

CUDA toolkit

PyTorch internals

Job description

BairesDev is seeking a Software Engineer (PyTorch) to build and optimize deep learning models for production-grade AI solutions. You will design architectures, train pipelines, and collaborate with global teams to translate research into scalable software.

This 100% remote role offers competitive USD compensation, a flexible schedule, and a supportive, multicultural environment that values growth, mentorship, and continual learning.