Design and optimize large-scale neural network architectures using PyTorch to solve complex computational problems. Implement distributed training strategies and GPU optimization techniques for high-performance model execution. Collaborate with engineering teams to integrate deep learning models into production systems and ensure scalability.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
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 an ML Engineer specializing in Deep Learning, you will design and optimize sophisticated neural network architectures to solve complex computational problems. You will play a key role in scaling model development by implementing advanced training techniques and ensuring high-performance execution across distributed systems.
What You'll Do
- Design, build, and train large-scale deep learning models using PyTorch.
- Develop custom model architectures tailored to specific business requirements and data types.
- Implement distributed training strategies to handle massive datasets and reduce training time.
- Optimize GPU utilization and model performance through mixed-precision training and memory management.
- Collaborate with engineering teams to integrate deep learning models into production-grade systems.
- Monitor and refine model performance to ensure accuracy and scalability in real-world applications.
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 4+ years of experience in Software Engineering with a focus on Deep Learning.
- Proven expertise in PyTorch and designing custom model architectures.
- Hands-on experience with distributed training and GPU optimization.
- Proficiency in mixed-precision training and large-scale model development.
- Strong background in Python programming and training optimization.
- Advanced proficiency in English.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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!
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