Deep Learning Engineer - Remote Work | REF#303452

BairesDev; Chile; A distancia; CLP 111.317.000 - 166.976.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Competitive salary

Home office setup

Flexible hours

Parental leave

Global team

Descripción de la vacante

BairesDev is seeking a Deep Learning Engineer to design and implement advanced neural network architectures, bridging research and production-grade software to deliver scalable AI solutions.

You will use PyTorch and Python to build end-to-end pipelines, optimize training with distributed and mixed-precision approaches, and collaborate with cross-functional teams to deploy models across enterprise applications.

Formación

• 4+ years in Deep Learning Engineering or ML-focused software roles.
• Expertise in PyTorch and custom model architectures.
• Experience with distributed training and GPU optimization.

Responsabilidades

• Design, develop, and implement custom deep learning model architectures using PyTorch and Python.
• Optimize training processes with distributed training and mixed-precision techniques for large datasets.
• Improve model performance with GPU acceleration and memory-efficient methods.
• Build 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 scalability.

Conocimientos

PyTorch

Python

Deep learning

Distributed training

GPU optimization

Mixed-precision training

English proficiency

Large-scale training pipelines

Herramientas

CUDA

Git

Descripción del empleo

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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