Deep Learning Engineer - Remote Work

About the role

As a Deep Learning Engineer you will design and implement advanced neural network architectures to solve complex real‑world challenges. You will serve as the bridge between algorithmic research and production‑grade software, ensuring models are optimized for performance and scalability.

Key responsibilities

• Design, develop, and implement custom deep learning model architectures using PyTorch and Python.
• Optimize training processes with distributed training, mixed‑precision techniques, and GPU acceleration for large‑scale datasets.
• Build and maintain end‑to‑end deep learning pipelines from data preprocessing to model deployment.
• Collaborate with cross‑functional teams to integrate AI models into enterprise applications.
• Monitor and refine production models to ensure accuracy, stability, and efficiency at scale.

Required profile

• 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 mixed‑precision training techniques.
• Strong background in Python and large‑scale model training pipelines.
• Advanced proficiency in English.

Required skills

• PyTorch
• Python
• GPU acceleration
• Distributed training
• Mixed‑precision training

What we offer

• 100% remote work from anywhere.
• Excellent compensation in USD or local currency.
• Hardware and software setup for home office.
• Flexible hours and self‑managed schedule.
• Paid parental leave, vacations, and national holidays.
• Innovative, multicultural environment with top‑tier global talent.
• Mentorship, promotion pathways, skill development, and diverse growth opportunities.