Remote Deep Learning Engineer — PyTorch & Production AI

BairesDev

Colombia

Presencial

COP 381.667.000 - 572.501.000

Jornada completa

14 días+
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Ventajas ofrecidas por este puesto de trabajo

Remote work
Competitive USD compensation
Home setup provided
Flexible hours
Paid parental leaves
Diversity & mentorship

Descripción de la vacante

BairesDev is seeking a Deep Learning Engineer to design and implement state-of-the-art neural networks, bridging research with production-grade software. You will work on PyTorch-based architectures, optimize training, and scale models for enterprise applications in a fully remote setting.

You will collaborate with global teams, own end-to-end model pipelines from data prep to deployment, and contribute to performance, stability, and efficiency.

Formación

  • 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.

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

PyTorch
Python
Distributed training
GPU optimization
Mixed-precision training
Model architectures design
English proficiency

Descripción del empleo

BairesDev is seeking a Deep Learning Engineer to design and implement state-of-the-art neural networks, bridging research with production-grade software. You will work on PyTorch-based architectures, optimize training, and scale models for enterprise applications in a fully remote setting.

You will collaborate with global teams, own end-to-end model pipelines from data prep to deployment, and contribute to performance, stability, and efficiency.

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