Remote Senior AI/ML Engineer — PyTorch + C++

EPAM Systems; Georgia; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation opportunities

Work abroad up to 2 months/year

Corporate and social events

Employee stock purchase plan

Free English classes

Learning database access

Job summary

EPAM Systems Georgia is seeking a Senior AI/ML Engineer to drive design, training, and deployment of advanced deep learning models. You will work remotely from Georgia, collaborating with our ML & AI team across diverse tasks and environments.

The role emphasizes PyTorch, neural networks, and robust ML fundamentals, with strong emphasis on deployment, performance tuning, and cross‑functional collaboration. Relocation opportunities and global collaboration are available.

Qualifications

• 3+ years of Python development with PyTorch for DL models.
• Experience designing, training, and deploying neural networks.
• Strong ML fundamentals in supervised and unsupervised learning.
• Ability to troubleshoot and optimize model performance.
• English proficiency at B2 level or higher.

Responsibilities

• Design, implement, and iterate on neural networks using PyTorch.
• Train, validate, and fine-tune models on diverse datasets.
• Troubleshoot performance issues and iterate on methods.
• Analyze model mapping to devices through compilation steps.
• Deploy neural networks across environments and use cases.
• Apply ML fundamentals to supervised and unsupervised learning outcomes.

Skills

Python

PyTorch

Neural networks

ML fundamentals

Troubleshooting

English proficiency

Tools

C++

Kernel programming

GPU architectures

Job description

EPAM Systems Georgia is seeking a Senior AI/ML Engineer to drive design, training, and deployment of advanced deep learning models. You will work remotely from Georgia, collaborating with our ML & AI team across diverse tasks and environments.

The role emphasizes PyTorch, neural networks, and robust ML fundamentals, with strong emphasis on deployment, performance tuning, and cross‑functional collaboration. Relocation opportunities and global collaboration are available.