Remote Deep Learning Engineer: PyTorch & GPU Optimization

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

Benefits offered by this job

100% remote work

Competitive USD salary

Hardware provided

Flexible hours

Job summary

BairesDev is seeking a Deep Learning Engineer to design and deploy advanced neural architectures, integrating research with production-grade software. The role emphasizes PyTorch-based model development, scalable pipelines, and collaboration across teams.

Ideal candidates have 4+ years in ML or software with ML focus, strong Python skills, and excellent English. This is a 100% remote position offering USD compensation and a flexible schedule.

Qualifications

• 4+ years of experience in Deep Learning Engineering or Software Engineering with a focus on machine learning.
• Proven expertise in PyTorch and designing custom model architectures.
• Hands-on experience with distributed training strategies and GPU optimization.
• Proficiency in implementing mixed-precision training techniques to optimize memory and speed.
• Strong background in Python and developing large-scale model training pipelines.
• Advanced proficiency in English.

Responsibilities

• Design, develop, and implement custom deep learning model architectures using PyTorch and Python.
• Optimize training processes through distributed training and mixed-precision techniques for large datasets.
• Enhance model performance by GPU optimization and memory-efficient training strategies.
• Build and maintain end-to-end deep learning pipelines from data preprocessing to deployment.
• Collaborate with cross-functional teams to integrate AI models into enterprise applications.
• Monitor and refine production models to ensure accuracy, stability, and efficiency at scale.

Skills

Deep Learning

Python

Distributed training

GPU optimization

Model deployment

English proficiency

Tools

PyTorch

Distributed training frameworks

Job description

BairesDev is seeking a Deep Learning Engineer to design and deploy advanced neural architectures, integrating research with production-grade software. The role emphasizes PyTorch-based model development, scalable pipelines, and collaboration across teams.

Ideal candidates have 4+ years in ML or software with ML focus, strong Python skills, and excellent English. This is a 100% remote position offering USD compensation and a flexible schedule.