Back to jobs

Senior AI/ML Engineer with PyTorch, С++

Pay
Pay not listed
Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Design and iterate on neural network architectures in PyTorch

  • Train, validate, and fine-tune models for accuracy and robustness

  • Troubleshoot model performance and iterate on techniques to improve results

  • Analyze how models map onto client devices via compilation steps and kernels

  • Deploy neural networks across different environments

From the employer’s posting
Design, implement, and iterate on neural network architectures using PyTorch
Train, validate, and fine-tune machine learning models using relevant datasets
Investigate and troubleshoot model performance issues
Analyze how models map onto the client's devices through compilation steps and kernels
Deploy neural networks for various applications across different environments

What you’ll bring

All qualifications

Core experience

  • 3+ years of Python programming
  • Hands-on PyTorch for deep learning model development and training
  • Designing, training, and deploying neural networks
  • Machine learning fundamentals, supervised and unsupervised learning
  • English at B2 level or higher

Preferred experience

  • Familiarity with C++ and kernel programming
  • Knowledge of GPU/AI-accelerator architectures
Qualification wording
3+ years of experience in Python programming
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
English proficiency at B2 level or higher
Familiarity with C++ and kernel programming
Knowledge of GPU/AI-accelerator architectures

Tools in this posting

  • C++
  • Python
  • PyTorch
Source — Tool mentions in context
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 Deploy neural networks for various applications across different environments 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

Posting record

Report an error

Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 1, 20262 days ago
Recorded sightings
4
Last seen by us
Nov 4, 2026
Employer says posted
Sep 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 6 and day 69.

From 4,296 similar postings that came down. Coming down is not always a hire.

EPAM Systems is hiring

656 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

Your next step

Check the employer’s posting for the current role and application details.

Already applied? Track this application

Has EPAM Systems posted this job before?

Yes. We’ve followed one other Senior AI/ML Engineer with PyTorch, С++ job there since November 2026. It is still up.

  1. Place not statedStill up after 3 days, first seen Nov 1
  2. This jobUp 3 days so far, first seen Nov 1

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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 Deploy neural networks for various applications across different environments 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
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Location not supplied.

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

AI answers unavailable

We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting