Remote Deep Learning Engineer: PyTorch & Scalable ML

BairesDev; Bogotá ciudad; A distancia; COP 319.806.000 - 479.708.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Competitive USD compensation

Home-office hardware provided

Flexible hours

Parental leave & holidays

Global team collaboration

Mentorship & growth opportunities

Descripción de la vacante

BairesDev is seeking a Deep Learning Engineer to design and implement advanced neural networks, bridging research and production-grade software. You will optimize performance for large-scale data, leverage GPU acceleration, and contribute to end-to-end pipelines in a globally distributed, 100% remote team.

The role emphasizes PyTorch expertise, distributed training, memory-efficient techniques, and collaboration across cross-functional teams to deploy enterprise AI solutions.

Formación

• 4+ years of experience in Deep Learning Engineering or Software Engineering with ML focus.
• 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.

Responsabilidades

• Design, develop, and implement custom deep learning model architectures using PyTorch and Python.
• Optimize training processes through distributed training and mixed-precision techniques.
• 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 deployment.
• Collaborate with cross-functional teams to integrate AI models into enterprise applications.
• Monitor and refine production models for accuracy, stability, and efficiency at scale.

Conocimientos

PyTorch

Python

Distributed training

GPU optimization

Mixed-precision training

English proficiency

Educación

Bachelor's degree in CS or related field

Descripción del empleo

BairesDev is seeking a Deep Learning Engineer to design and implement advanced neural networks, bridging research and production-grade software. You will optimize performance for large-scale data, leverage GPU acceleration, and contribute to end-to-end pipelines in a globally distributed, 100% remote team.

The role emphasizes PyTorch expertise, distributed training, memory-efficient techniques, and collaboration across cross-functional teams to deploy enterprise AI solutions.