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# Senior Python Machine Learning Engineer

- **Company:** EPAM Systems, Inc.
- **Location:** Newtown, PA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Program Optimization, Software Design Patterns, Python (Programming Language), Machine Learning, Software Engineering, Software Requirements Analysis, Cloud Platform System, Chatbots, Pytorch, Large Language Models, Git, Fastapi, Build Management, HuggingFace, Machine Learning Operations, GPT, Software Version Control
- **Published:** August 15, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pb8rxaz5dn

## About the Role

* 3+ years of Python development and Machine Learning engineering
 * Experience with software engineering principles, including design patterns and code optimization techniques
 * Demonstrated solid programming skills in Python using efficient algorithms
 * Proficiency working with LLMs, such as GPT3/ Llama/ T5/ BERT and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX
 * Familiarity with cloud computing platforms, such as AWS, Azure, or GCP
 * Showcase of LLMOps: Auto-GPT, Langchain, LlamaIndex, VectorDBs
 * Strong understanding of statistical methods and analysis
 * Knowledge of version control systems such as Git

## Description

As a Python Machine Learning Engineer, you will provide expertise in LLMs for diverse Python applications, such as chatbots, question-answering systems, and content generation.

_Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda.

_Responsibilities

 * Design, build and deploy Machine Learning models and applications using Python
 * Research and provide expertise in LLMs for diverse applications such as question-answering systems, chatbots, and content generation
 * Collaborate with cross-functional teams to establish product requirements, deliver top-quality solutions, and ensure seamless integration with existing systems
 * Optimize and fine-tune LLM models to meet performance, efficiency and accuracy goals
 * Create and maintain documentation for implemented solutions, ensuring accurate and concise reporting on technical specifications and system requirements
 * Troubleshoot and resolve issues related to LLM usage in production scenarios, ensuring high reliability and performance


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