Remote Deep Learning Engineer - PyTorch for Scalable Models

BairesDev; Comisión de Fomento de Perú; Presencial; ARS 181.190.000 - 271.784.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Market-rate USD compensation

Hardware and software setup for home

Flexible hours

Parental leaves and holidays

Global mentorship and growth

Descripción de la vacante

BairesDev is seeking an experienced Deep Learning Engineer to design, develop, and deploy custom AI models using PyTorch. You will work across the full ML lifecycle on large-scale datasets in a fully remote environment.

We value distributed training, memory-efficient pipelines, and GPU-accelerated performance, with opportunities for growth and collaboration with a global Top 1% talent pool.

Formación

• 4+ years of experience in Deep Learning or ML-focused software engineering.
• 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.

Responsabilidades

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

Conocimientos

Deep Learning Engineering

PyTorch

Distributed training

Mixed-precision training

Python

English

Descripción del empleo

BairesDev is seeking an experienced Deep Learning Engineer to design, develop, and deploy custom AI models using PyTorch. You will work across the full ML lifecycle on large-scale datasets in a fully remote environment.

We value distributed training, memory-efficient pipelines, and GPU-accelerated performance, with opportunities for growth and collaboration with a global Top 1% talent pool.