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Deep Learning Engineer

BairesDev • Mexico
Remote
Apply Now

Design and implement advanced neural network architectures using PyTorch and Python. Optimize large‑scale training with distributed and mixed‑precision techniques while ensuring GPU efficiency. Collaborate cross‑functionally to deploy and maintain production‑grade AI models in a fully remote setting.

Key Highlights
Custom deep learning model design and implementation with PyTorch
Optimization of large‑scale training via distributed and mixed‑precision methods
Fully remote work with flexible hours and competitive compensation
Key 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.
Technical Skills Required
Python PyTorch Distributed training
Benefits & Perks
100% remote work (work from anywhere)
Excellent compensation in USD or local currency
Flexible hours and paid parental leave

Job Description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
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