Deep Learning Engineer - Remote Work | REF#300934

BairesDev

Lima Metropolitana

Remote

PEN 414,000 - 621,000

Full time

2 days ago
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Benefits offered by this job

Remote work
USD salary
Home office setup provided
Flexible hours
Paid parental leave

Job summary

BairesDev is seeking a senior Deep Learning Engineer to design and implement advanced neural network architectures using PyTorch and Python. You will bridge research and production, optimize training with distributed and mixed-precision techniques, and push GPU-accelerated pipelines at scale.

Join a 100% remote global team and work from anywhere, with flexible hours, hardware setup provided, and a strong emphasis on mentorship, growth, and real impact across enterprise-grade applications.

Qualifications

  • 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.

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
English

Tools

CUDA
GPU acceleration

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!

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