Deep Learning Engineer (Remote)

About the role

We are looking for a Deep Learning Engineer to design and implement advanced neural network architectures that solve real‑world problems. You will bridge algorithmic research and production‑grade software, ensuring models are performant, scalable, and ready for enterprise deployment.

Key responsibilities

• Design, develop, and implement custom deep learning models using PyTorch and Python.
• Optimize training pipelines with distributed training and mixed‑precision techniques for large‑scale datasets.
• Enhance model performance through GPU acceleration and memory‑efficient strategies.
• Build and maintain end‑to‑end pipelines from data preprocessing to model deployment.
• Collaborate with cross‑functional teams to integrate AI models into enterprise applications.
• Monitor, evaluate, and refine production models to maintain accuracy and stability 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 Python programming skills for large‑scale model pipelines.
• Advanced proficiency in English.

Required skills

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

What we offer

• 100% remote work from anywhere.
• Competitive 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.
• Multicultural environment with mentorship, promotion, and skill‑development opportunities.