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Deep Learning Engineer - Remote Work | REF#300934
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Postular con:Deep Learning Engineer - Remote Work | REF#300934
Servicios y consultoría de TI
Resumen
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
Apply now!
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.
- 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.
- 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.
Apply now!
Requerimientos
- Disponibilidad para viajarNo