Senior AI/ML Engineer with PyTorch, С++

EPAM Systems; Turkey; On-site; TRY 3,831,000 - 5,747,000; Full time

Benefits offered by this job

Continuous upskilling

Extra leave days

Referral bonuses

Private health insurance

English courses

Job summary

EPAM Systems is seeking a Senior AI/ML Engineer to join the ML & AI team, driving design, training, and deployment of advanced deep learning models. You will design, implement, and iterate neural networks using PyTorch, train and fine-tune models on diverse datasets, and troubleshoot performance issues across tasks.

The role requires 3+ years of Python experience with PyTorch, strong understanding of ML fundamentals, and English at B2 level or higher.

Qualifications

• 3+ years of Python with hands-on PyTorch for deep learning development.
• Experience designing, training, and deploying neural networks.
• Understanding ML fundamentals including supervised and unsupervised learning.
• Expertise in troubleshooting and optimizing model performance across datasets.
• English proficiency at B2 level or higher.

Responsibilities

• Design, implement, and iterate neural network architectures using PyTorch.
• Train, validate, and fine-tune models on diverse datasets.
• Investigate performance issues and iterate to improve results.
• Analyze model mapping onto devices through compilation steps and kernels.
• Identify gaps in functionality and propose innovative solutions.
• Apply ML fundamentals to supervised and unsupervised learning outcomes.

Skills

Python

PyTorch

Deep Learning

Neural Networks

English (B2)

Tools

C++

Kernels

GPU/AI accelerators

Job description

We are looking for a Senior AI/ML Engineer to join the ML & AI team, driving the design, training, and deployment of advanced deep learning models.

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, and iterate on models and techniques to continuously improve results
• Analyze how models map onto the client's devices through compilation steps and kernels
• Identify gaps in functionality and performance, and propose innovative solutions to mitigate any issues
• Apply machine learning fundamentals to ensure effective supervised and unsupervised learning outcomes

Requirements

• 3+ years of experience in Python programming, with hands‑on expertise in PyTorch for developing and training deep learning models
• Proficiency in designing, training, and deploying neural networks for various applications
• Understanding of machine learning fundamentals, including supervised and unsupervised learning techniques
• Expertise in troubleshooting and optimizing model performance across diverse tasks and datasets
• English proficiency at B2 level or higher

Nice to have

• Familiarity with C++ and kernel programming
• Knowledge of GPU/AI-accelerator architectures

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL & HEALTHCARE
  • Private health insurance
  • Well-being events
• WORKING ENVIRONMENT
  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.