Remote Deep Learning Engineer - PyTorch Innovator

BairesDev; Chile; Remote; CLP 99,602,000 - 149,402,000; Full time

Benefits offered by this job

Remote work

USD or local currency

Home setup provided

Flexible hours

Parental leaves

Global top talent

Mentorship & growth

Job summary

BairesDev is seeking a Deep Learning Engineer to design and implement advanced neural networks, bridging research and production. You will shape scalable models using PyTorch and Python, optimizing training pipelines and deploying end-to-end solutions for global clients.

Join a 100% remote team that values performance, distributed training, and memory-efficient techniques. You will collaborate with cross-functional teams and contribute to cutting-edge AI initiatives across industries.

Qualifications

• Proven experience in building deep learning models with PyTorch and Python.
• Strong understanding of distributed training and memory-efficiency techniques.
• Experience deploying ML models in production and collaborating with cross-functional teams.

Responsibilities

• 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.

Skills

PyTorch

Python

Distributed training

Mixed-precision training

GPU optimization

English proficiency

Job description

BairesDev is seeking a Deep Learning Engineer to design and implement advanced neural networks, bridging research and production. You will shape scalable models using PyTorch and Python, optimizing training pipelines and deploying end-to-end solutions for global clients.

Join a 100% remote team that values performance, distributed training, and memory-efficient techniques. You will collaborate with cross-functional teams and contribute to cutting-edge AI initiatives across industries.