Lead AI Engineer: ML Systems & Neural Networks

EPAM Systems, Inc.; Turkey; On-site; TRY 5,395,000 - 8,828,000; Full time

Benefits offered by this job

Continuous upskilling

Learning & development

Diversity of tasks

Mentoring programs

Learning platforms

English courses

Extra leave days

Referral bonuses

Private health insurance

Well-being events

IT Equipment

HUP program

Job summary

EPAM Systems, Inc. seeks a Lead AI Engineer to join a cutting‑edge team building AI-focused hardware and software platforms. You will design, train, and optimize neural networks using PyTorch, and map models onto specialized hardware through compilation steps and kernels.

You will lead engineers, collaborate with teams on compilers, NN, LLMs, and CNNs, and deploy scalable AI solutions across diverse applications while communicating clearly in English.

Qualifications

• 5+ years of experience in machine learning and AI engineering.
• At least 1 year of relevant leadership experience.
• Proficiency in Python with hands-on PyTorch for developing and training deep learning models.
• Ability to map models onto specialized AI hardware through compilation steps and kernels.

Responsibilities

• Design, implement, and iterate on neural network architectures using PyTorch to achieve optimal performance on diverse tasks.
• Train, validate, and fine-tune machine learning models using relevant datasets to ensure high accuracy and robustness.
• Investigate and troubleshoot model performance issues, iterating on models and techniques to continuously improve results.
• Analyze how models map onto Tenstorrent devices through compilation steps and kernels.
• Collaborate with cross-functional teams working on compilers, neural networks, LLMs, and CNNs.
• Deploy neural networks for various applications, ensuring scalability and reliability.

Skills

Python

PyTorch

Leadership

English communication

C++

Kernel programming

GPU architectures

Job description

EPAM Systems, Inc. seeks a Lead AI Engineer to join a cutting‑edge team building AI-focused hardware and software platforms. You will design, train, and optimize neural networks using PyTorch, and map models onto specialized hardware through compilation steps and kernels.

You will lead engineers, collaborate with teams on compilers, NN, LLMs, and CNNs, and deploy scalable AI solutions across diverse applications while communicating clearly in English.