Deep Learning Engineer - Remote Work | REF#303450

BairesDev; Minas Gerais; Presencial; BRL 150 000 - 230 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work

USD compensation

Home office setup

Flexible hours

Parental leave

Diverse growth opportunities

Resumo da oferta

BairesDev is seeking a Deep Learning Engineer to design and implement advanced neural network architectures and production-grade ML pipelines. This is a 100% remote role with competitive compensation and global collaboration.

Ideal candidates have extensive PyTorch experience, distributed training expertise, and a strong Python background, plus advanced English skills to collaborate with international teams.

Qualificações

• 4+ years of experience in Deep Learning or ML engineering.
• Proven PyTorch expertise.
• Experience with distributed training and GPU optimization.
• Experience with mixed-precision training techniques.
• Strong Python and large-scale model training pipelines.
• Advanced English proficiency.

Responsabilidades

• Design, develop, and implement custom deep learning model architectures using PyTorch and Python.
• Optimize training processes through distributed training and mixed-precision techniques.
• Improve model performance with GPU acceleration and memory-efficient strategies.
• Build end-to-end DL pipelines from data preprocessing to deployment.
• Collaborate with cross-functional teams to integrate AI models into applications.
• Monitor and refine production models for accuracy and efficiency.

Conhecimentos

Deep Learning

PyTorch

Distributed Training

GPU Optimization

Python

English

CUDA

Ferramentas

PyTorch

CUDA

Descrição da oferta de emprego

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!