Lead AI Engineer for Custom AI Hardware & Models

EPAM Systems; Turkey; On-site; TRY 4,936,000 - 8,391,000; Full time

Benefits offered by this job

Continuous upskilling

Learning & development

Mentoring programs

Private health insurance

Learning platforms access

English courses

Job summary

EPAM Systems in Turkey is seeking a Lead AI Engineer to join a cutting-edge team building AI-specific computers. You will lead neural network development using PyTorch, train and optimize models, and collaborate with architecture, compilers, and ML teams to map workloads onto specialized hardware.

The role requires 5+ years in ML/AI, at least 1 year in leadership, strong Python/PyTorch skills, and experience deploying models across platforms.

Qualifications

• 5+ years in ML/AI engineering.
• At least 1 year of leadership experience.
• Proficient in Python and PyTorch for DL models.
• Experience deploying neural networks across platforms.
• Strong ML fundamentals and problem solving.
• Ability to map models to specialized AI hardware via compilation.

Responsibilities

• Design, implement, and iterate on neural network architectures using PyTorch.
• Train, validate, and fine-tune models with relevant datasets.
• Investigate and troubleshoot model performance issues.
• Analyze model mapping onto Tenstorrent devices through compilation steps and kernels.
• Collaborate with cross-functional teams on compilers, neural networks, LLMs, and CNNs.
• Deploy neural networks for various applications with scalable, reliable inference.

Skills

ML/AI experience

Python & PyTorch

Neural networks

Model deployment

English communication

Leadership

Tools

PyTorch

C++

GPU architectures

Job description

EPAM Systems in Turkey is seeking a Lead AI Engineer to join a cutting-edge team building AI-specific computers. You will lead neural network development using PyTorch, train and optimize models, and collaborate with architecture, compilers, and ML teams to map workloads onto specialized hardware.

The role requires 5+ years in ML/AI, at least 1 year in leadership, strong Python/PyTorch skills, and experience deploying models across platforms.