Deep Learning Engineer - Remote Work | REF#304829

BairesDev; México; Remote; MXN 1,282,000 - 2,015,000; Full time

Benefits offered by this job

100% remote work

USD or local currency compensation

Hardware and software setup

Flexible hours

Paid parental leaves

Promotions and growth opportunities

Job summary

BairesDev is seeking a Deep Learning Engineer to design and implement advanced neural network architectures, bridging research and production-grade software. You will optimize models for performance and scalability in a fully remote setting.

The role emphasizes PyTorch and Python, distributed training, GPU optimization, and end-to-end pipelines from data preprocessing to deployment, with a global, Top 1% talent culture and flexible hours.

Qualifications

• 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.
• Strong background in Python and large-scale model training pipelines.
• Advanced proficiency in English.

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

GPU optimization

Mixed-precision training

Model training pipelines

English

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.

As a Deep Learning Engineer, you will specialize in designing and implementing advanced neural network architectures to solve complex real-world challenges. You will act as a key link between algorithmic research and production-grade software, ensuring that deep learning models are optimized for performance and scalability.

What You'll Do

• 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.

What We Are Looking For

• 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.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!